Applying various clustering algorithms on covid-19 co-authorship network

Clustering.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Copy of JJ_Before_Network_Clustering.ipynb","provenance":[{"file_id":"141mNkFltCBaNEpVyH1L7hCm5Aq0lV5gJ","timestamp":1588207685818}],"collapsed_sections":[],"machine_shape":"hm"},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"id":"L8pQUzCtnuTD","colab_type":"code","outputId":"c96e7fd6-0189-4db1-f8bd-211ffda5735c","executionInfo":{"status":"ok","timestamp":1588525879306,"user_tz":300,"elapsed":13353,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["\"\"\"Increase memory size\"\"\"\n","import numpy as np\n","# When you run this code, you will see “Your session crashed.” message. Now, you are good to go! Google increased Ram to 25GB.\n","n = np.zeros((50000, 50000)).astype(np.uint8)\n","print(f\"{n.size * n.itemsize} bytes\")"],"execution_count":1,"outputs":[{"output_type":"stream","text":["2500000000 bytes\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"ZZ2bSbmDOG0D","colab_type":"code","colab":{}},"source":["import os\n","import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt\n","import scipy\n","import scipy.sparse\n","from scipy.sparse import csgraph\n","from scipy import linalg\n","from sklearn.cluster import KMeans\n","import networkx as nx\n","from sklearn.cluster import SpectralClustering\n","\n","%matplotlib inline "],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"Co3Jr1rvx9Rf","colab_type":"code","colab":{}},"source":["\"\"\"Upload a file from google drive\"\"\" #For more info, watch this video: https://www.youtube.com/watch?v=oqMImCeXi6o\n","\"\"\"You should upload state.dta file to your google drive\"\"\"\n","!pip install -U -q PyDrive\n","from pydrive.auth import GoogleAuth\n","from pydrive.drive import GoogleDrive\n","from google.colab import auth\n","from oauth2client.client import GoogleCredentials"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"ejQpAWtOOPEd","colab_type":"code","colab":{}},"source":["\"\"\"Authenticate and create the PyDrive client\"\"\"\n","auth.authenticate_user()\n","gauth = GoogleAuth()\n","gauth.credentials = GoogleCredentials.get_application_default()\n","drive = GoogleDrive(gauth)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"96-Gz_1lyGUf","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":513},"outputId":"b35f1cdd-7e36-4cc5-d385-e27810ccd8e1","executionInfo":{"status":"ok","timestamp":1588296663471,"user_tz":300,"elapsed":5334,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}}},"source":["\"\"\"Get file ID and get content of the file\"\"\"\n","link = \"https://drive.google.com/open?id=1GGDqCT2tjmeRijRor5XiURNAv048-QiC\"\n","url, id = link.split('=')\n","downloaded = drive.CreateFile({'id':id}) \n","downloaded.GetContentFile('df_AA_before.csv') "],"execution_count":31,"outputs":[{"output_type":"stream","text":["WARNING:googleapiclient.discovery_cache:file_cache is unavailable when using oauth2client >= 4.0.0 or google-auth\n","Traceback (most recent call last):\n","  File \"/usr/local/lib/python3.6/dist-packages/googleapiclient/discovery_cache/__init__.py\", line 36, in autodetect\n","    from google.appengine.api import memcache\n","ModuleNotFoundError: No module named 'google.appengine'\n","\n","During handling of the above exception, another exception occurred:\n","\n","Traceback (most recent call last):\n","  File \"/usr/local/lib/python3.6/dist-packages/googleapiclient/discovery_cache/file_cache.py\", line 33, in <module>\n","    from oauth2client.contrib.locked_file import LockedFile\n","ModuleNotFoundError: No module named 'oauth2client.contrib.locked_file'\n","\n","During handling of the above exception, another exception occurred:\n","\n","Traceback (most recent call last):\n","  File \"/usr/local/lib/python3.6/dist-packages/googleapiclient/discovery_cache/file_cache.py\", line 37, in <module>\n","    from oauth2client.locked_file import LockedFile\n","ModuleNotFoundError: No module named 'oauth2client.locked_file'\n","\n","During handling of the above exception, another exception occurred:\n","\n","Traceback (most recent call last):\n","  File \"/usr/local/lib/python3.6/dist-packages/googleapiclient/discovery_cache/__init__.py\", line 42, in autodetect\n","    from . import file_cache\n","  File \"/usr/local/lib/python3.6/dist-packages/googleapiclient/discovery_cache/file_cache.py\", line 41, in <module>\n","    \"file_cache is unavailable when using oauth2client >= 4.0.0 or google-auth\"\n","ImportError: file_cache is unavailable when using oauth2client >= 4.0.0 or google-auth\n"],"name":"stderr"}]},{"cell_type":"code","metadata":{"id":"JHvqQDcWyjX_","colab_type":"code","outputId":"16ffaab3-d725-4c9d-9539-b0c5704bf829","executionInfo":{"status":"ok","timestamp":1588525942393,"user_tz":300,"elapsed":8957,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["df_raw = pd.read_csv(\"df_AA_before_one.csv\", index_col=0)\n","df_raw.shape"],"execution_count":4,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(7956, 7956)"]},"metadata":{"tags":[]},"execution_count":4}]},{"cell_type":"code","metadata":{"id":"QWMfQtStLhHH","colab_type":"code","outputId":"67bc00bc-602d-4dce-ce19-7f414b52cc37","executionInfo":{"status":"ok","timestamp":1588525944437,"user_tz":300,"elapsed":1063,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":660}},"source":["\"\"\"Remove nodes with no neighbors (edges and degree = 0)\"\"\"\n","df_raw = df_raw.loc[(df_raw != 0).any(axis=1)]\n","df_raw = df_raw.loc[:, (df_raw != 0).any(axis=0)]\n","df_raw"],"execution_count":5,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>kantoch m</th>\n","      <th>bang f b</th>\n","      <th>li xingzhi</th>\n","      <th>wang xianhe</th>\n","      <th>escoval a</th>\n","      <th>song baifen</th>\n","      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</tr>\n","    <tr>\n","      <th>licon abel</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n"," 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<td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>budev marie</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>wang yz</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>7956 rows × 7956 columns</p>\n","</div>"],"text/plain":["                  kantoch m   bang f b   ...  budev marie   wang yz \n","kantoch m                  0          1  ...             0         0\n","bang f b                   1          0  ...             0         0\n","li xingzhi                 0          0  ...             0         0\n","wang xianhe                0          0  ...             0         0\n","escoval a                  0          0  ...             0         0\n","...                      ...        ...  ...           ...       ...\n","leung ming-ying            0          0  ...             0         0\n","licon abel                 0          0  ...             0         0\n","li xinmin                  0          0  ...             1         0\n","budev marie                0          0  ...             0         0\n","wang yz                    0          0  ...             0         0\n","\n","[7956 rows x 7956 columns]"]},"metadata":{"tags":[]},"execution_count":5}]},{"cell_type":"code","metadata":{"id":"qFiXVuWXKDPy","colab_type":"code","outputId":"07fe4e89-bbe9-4b6d-8f09-b691e53f3c44","executionInfo":{"status":"error","timestamp":1588287660357,"user_tz":300,"elapsed":16356,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":548}},"source":["from google.colab import  drive\n","drive.mount('/drive')\n","df_raw.to_csv(\"/drive/My Drive/df_before_JJ_matrix_clean.csv\")"],"execution_count":0,"outputs":[{"output_type":"error","ename":"KeyboardInterrupt","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36m_input_request\u001b[0;34m(self, prompt, ident, parent, password)\u001b[0m\n\u001b[1;32m    728\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 729\u001b[0;31m                 \u001b[0mident\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreply\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstdin_socket\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    730\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/jupyter_client/session.py\u001b[0m in \u001b[0;36mrecv\u001b[0;34m(self, socket, mode, content, copy)\u001b[0m\n\u001b[1;32m    802\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 803\u001b[0;31m             \u001b[0mmsg_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msocket\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv_multipart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    804\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mzmq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mZMQError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/zmq/sugar/socket.py\u001b[0m in \u001b[0;36mrecv_multipart\u001b[0;34m(self, flags, copy, track)\u001b[0m\n\u001b[1;32m    474\u001b[0m         \"\"\"\n\u001b[0;32m--> 475\u001b[0;31m         \u001b[0mparts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mflags\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrack\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrack\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    476\u001b[0m         \u001b[0;31m# have first part already, only loop while more to receive\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32mzmq/backend/cython/socket.pyx\u001b[0m in \u001b[0;36mzmq.backend.cython.socket.Socket.recv\u001b[0;34m()\u001b[0m\n","\u001b[0;32mzmq/backend/cython/socket.pyx\u001b[0m in \u001b[0;36mzmq.backend.cython.socket.Socket.recv\u001b[0;34m()\u001b[0m\n","\u001b[0;32mzmq/backend/cython/socket.pyx\u001b[0m in \u001b[0;36mzmq.backend.cython.socket._recv_copy\u001b[0;34m()\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/zmq/backend/cython/checkrc.pxd\u001b[0m in \u001b[0;36mzmq.backend.cython.checkrc._check_rc\u001b[0;34m()\u001b[0m\n","\u001b[0;31mKeyboardInterrupt\u001b[0m: ","\nDuring handling of the above exception, another exception occurred:\n","\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)","\u001b[0;32m<ipython-input-19-9639f67fb2d9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mgoogle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolab\u001b[0m \u001b[0;32mimport\u001b[0m  \u001b[0mdrive\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdrive\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/drive'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mdf_raw\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"/drive/My Drive/df_before_JJ_matrix_clean.csv\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/google/colab/drive.py\u001b[0m in \u001b[0;36mmount\u001b[0;34m(mountpoint, force_remount, timeout_ms, use_metadata_server)\u001b[0m\n\u001b[1;32m    236\u001b[0m       \u001b[0mauth_prompt\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0;34m'\\n'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    239\u001b[0m       \u001b[0mwrote_to_fifo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    240\u001b[0m   \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mwrote_to_fifo\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36mgetpass\u001b[0;34m(self, prompt, stream)\u001b[0m\n\u001b[1;32m    685\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parent_ident\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    686\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parent_header\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 687\u001b[0;31m             \u001b[0mpassword\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    688\u001b[0m         )\n\u001b[1;32m    689\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36m_input_request\u001b[0;34m(self, prompt, ident, parent, password)\u001b[0m\n\u001b[1;32m    732\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    733\u001b[0m                 \u001b[0;31m# re-raise KeyboardInterrupt, to truncate traceback\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 734\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    735\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    736\u001b[0m                 \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mKeyboardInterrupt\u001b[0m: "]}]},{"cell_type":"code","metadata":{"id":"fmfUUYKnn9gU","colab_type":"code","colab":{}},"source":["\"\"\"JUST LOOK THROUGH THIS CODES, SO THAT YOU COULD UNDERSTAND WHAT SPECTRAL CLUSTERING IS\"\"\"\n","# Spectral Clustring Algorithm explanation: https://towardsdatascience.com/spectral-clustering-82d3cff3d3b7\n","# Spectral Clustring Algorithm code: https://towardsdatascience.com/spectral-clustering-aba2640c0d5b\n","# K-means elbow method: https://predictivehacks.com/k-means-elbow-method-code-for-python/\n","# Plot Spectral Cluster: https://www.google.com/amp/s/www.geeksforgeeks.org/ml-spectral-clustering/amp/\n","\n","\"\"\"Laplacian Graph\"\"\"\n","\"\"\"\n","1) Undirected Adjacency Matrix\n","#  Aij ~ 1 when the two journals have common authors and Aij → 0 if two journals do not have common authors. \n","# Then, we weight all edges by the number of common authors. The more common authors two journals have, the higher the similarity between two journals becomes.\n","df_raw\n","\n","2) Compute Degree Matrix\n","# Compute how many edges are connected to each node.\n","n, m = df_raw.shape\n","diags = df_raw.to_numpy().sum(axis = 1).flatten()\n","df_dm = scipy.sparse.spdiags(diags, [0], m, n, format=\"csr\")\n","df_dm\n","\n","3) Compute the Graph Laplacian\n","# Compute graph Laplacian to find eigenvalues and eigenvectors for it, so that we could embed the data points into a low-dimensional space.\n","df_l = df_dm - df_raw.to_numpy() #L = D - A\n","df_l\n","\n","4) Normalize Laplacian\n","\n","#Formula : df_dm^{-1/2} * df_l * df_dm^{-1/2}\n","#Reason for normalization: https://math.stackexchange.com/questions/1113467/why-laplacian-matrix-need-normalization-and-how-come-the-sqrt-of-degree-matrix\n","#Code based on: https://networkx.github.io/documentation/networkx-1.10/_modules/networkx/linalg/laplacianmatrix.html#normalized_laplacian_matrix\n","\n","with scipy.errstate(divide = \"ignore\"):\n","  diags_sqrt = 1.0/np.sqrt(diags)\n","diags_sqrt[np.isinf(diags_sqrt)] = 0\n","DH = scipy.sparse.spdiags(diags_sqrt, [0], m, n, format='csr')\n","df_l_norm = DH.dot(df_l.dot(DH))\n","\n","# Memory issue: use scipy function instead of np\n","df_l_norm = csgraph.laplacian(df_raw.to_numpy(), normed = True)\n","df_l_norm\n","\n","5) Compute Eigenvalues and eigenvectors of normalized laplacian to use eigengap heuristics\n","vals, vecs = scipy.linalg.eigh(df_l_norm)\n","\n","# Sort eigenvectors and eigenvalues based on eigenvalues\n","vecs = vecs[:,np.argsort(vals)]\n","vals = vals[np.argsort(vals)]\n","\"\"\""],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"NkMjp-sXzuj0","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"b39fdec7-9aee-4b59-9ebe-d8d5782c6406","executionInfo":{"status":"ok","timestamp":1588523195585,"user_tz":300,"elapsed":2054,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}}},"source":["\"\"\"Visualize communities\"\"\"\n","G = nx.from_numpy_matrix(df_raw.to_numpy())\n","print(G.number_of_nodes())"],"execution_count":16,"outputs":[{"output_type":"stream","text":["7956\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"R6FqFSLl3xWP","colab_type":"code","colab":{}},"source":["#nx.draw(G)\n","nx.write_edgelist(G, \"original_graph.csv\", data=False)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"t3hJr6Uu0cLd","colab_type":"code","colab":{}},"source":["# Before Journal-to-Journal Graph seems to have more than two disjoint communities. \n","# Use Eigengap heuristics to find the optimal number of clusters"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"XJvd9d-g9puQ","colab_type":"code","colab":{}},"source":["\"\"\"Eigengap heuristic for finding the optimal number of clusters\"\"\" \n","#https://github.com/ciortanmadalina/high_noise_clustering/blob/master/spectral_clustering.ipynb\n","\n","def eigenDecomposition(A, plot = True, topK = 5):\n","    \"\"\"\n","    :param A: Affinity matrix\n","    :param plot: plots the sorted eigen values for visual inspection\n","    :return A tuple containing:\n","    - the optimal number of clusters by eigengap heuristic\n","    - all eigen values\n","    - all eigen vectors\n","    \n","    This method performs the eigen decomposition on a given affinity matrix,\n","    following the steps recommended in the paper:\n","    1. Construct the normalized affinity matrix: L = D−1/2ADˆ −1/2.\n","    2. Find the eigenvalues and their associated eigen vectors\n","    3. Identify the maximum gap which corresponds to the number of clusters\n","    by eigengap heuristic\n","    \n","    References:\n","    https://papers.nips.cc/paper/2619-self-tuning-spectral-clustering.pdf\n","    http://www.kyb.mpg.de/fileadmin/user_upload/files/publications/attachments/Luxburg07_tutorial_4488%5b0%5d.pdf\n","    \"\"\"\n","    L = csgraph.laplacian(A, normed=True)\n","    n_components = A.shape[0]\n","    \n","    # LM parameter : Eigenvalues with largest magnitude (eigs, eigsh), that is, largest eigenvalues in \n","    # the euclidean norm of complex numbers.\n","#     eigenvalues, eigenvectors = eigsh(L, k=n_components, which=\"LM\", sigma=1.0, maxiter=5000)\n","# Apply Matlab's algorithm to avoid complex number: https://stackoverflow.com/questions/8765310/scipy-linalg-eig-return-complex-eigenvalues-for-covariance-matrix\n","    eigenvalues, eigenvectors = np.linalg.eig(L)\n","    \n","    if plot:\n","        plt.title('Largest eigen values of input matrix')\n","        plt.scatter(np.arange(len(eigenvalues)), eigenvalues)\n","        plt.grid()\n","        \n","    # Identify the optimal number of clusters as the index corresponding\n","    # to the larger gap between eigen values\n","    index_largest_gap = np.argsort(np.diff(eigenvalues))[::-1][:topK]\n","    nb_clusters = index_largest_gap + 1\n","        \n","    return nb_clusters, eigenvalues, eigenvectors"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"WiJluhjd-Fvn","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":709},"outputId":"64cb52c6-9887-4e24-c822-237c5df07152","executionInfo":{"status":"ok","timestamp":1588299297106,"user_tz":300,"elapsed":339356,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}}},"source":["eigenDecomposition(df_raw.to_numpy())"],"execution_count":68,"outputs":[{"output_type":"stream","text":["/usr/local/lib/python3.6/dist-packages/numpy/core/_asarray.py:138: ComplexWarning: Casting complex values to real discards the imaginary part\n","  return array(a, dtype, copy=False, order=order, subok=True)\n"],"name":"stderr"},{"output_type":"execute_result","data":{"text/plain":["(array([5372, 5779, 5455, 5366, 5641]),\n"," array([2.        +0.j, 0.        +0.j, 1.97292155+0.j, ...,\n","        0.        +0.j, 0.        +0.j, 0.        +0.j]),\n"," array([[ 7.07106781e-001+0.j,  7.07106781e-001+0.j,  0.00000000e+000+0.j,\n","         ...,  0.00000000e+000+0.j,  0.00000000e+000+0.j,\n","          0.00000000e+000+0.j],\n","        [-7.07106781e-001+0.j,  7.07106781e-001+0.j,  0.00000000e+000+0.j,\n","         ...,  0.00000000e+000+0.j,  0.00000000e+000+0.j,\n","          0.00000000e+000+0.j],\n","        [ 0.00000000e+000+0.j,  0.00000000e+000+0.j, -4.58489305e-009+0.j,\n","         ...,  0.00000000e+000+0.j,  0.00000000e+000+0.j,\n","          0.00000000e+000+0.j],\n","        ...,\n","        [ 0.00000000e+000+0.j,  0.00000000e+000+0.j,  2.53664955e-231+0.j,\n","         ...,  0.00000000e+000+0.j,  0.00000000e+000+0.j,\n","          0.00000000e+000+0.j],\n","        [ 0.00000000e+000+0.j,  0.00000000e+000+0.j,  2.53750364e-231+0.j,\n","         ...,  0.00000000e+000+0.j,  0.00000000e+000+0.j,\n","          0.00000000e+000+0.j],\n","        [ 0.00000000e+000+0.j,  0.00000000e+000+0.j,  3.15812305e-034+0.j,\n","         ...,  0.00000000e+000+0.j,  0.00000000e+000+0.j,\n","          0.00000000e+000+0.j]]))"]},"metadata":{"tags":[]},"execution_count":68},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"0ZBhfhAd-8pP","colab_type":"code","colab":{}},"source":["# Ideal number of clusters that maximizes the eigengap (difference between consecutive eigenvalues) [ 920,  759, 3383,  477,   23]\n","# Spectral Clustering to find 23 communities"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"BpjzIXoxwhsS","colab_type":"code","outputId":"f31f1a17-a802-4e9d-ba15-b67d61ea8b33","executionInfo":{"status":"error","timestamp":1588303207231,"user_tz":300,"elapsed":340013,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":378}},"source":["#5372 clusters\n","sc = SpectralClustering(n_clusters = 5372, affinity = \"precomputed\", n_init = 50, assign_labels = \"kmeans\", random_state=0).fit_predict(df_raw)\n","index_list = df_raw.index.tolist()"],"execution_count":96,"outputs":[{"output_type":"stream","text":["/usr/local/lib/python3.6/dist-packages/sklearn/manifold/_spectral_embedding.py:236: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.\n","  warnings.warn(\"Graph is not fully connected, spectral embedding\"\n"],"name":"stderr"},{"output_type":"error","ename":"KeyboardInterrupt","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)","\u001b[0;32m<ipython-input-96-e45d47fa8a36>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mSpectralClustering\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_clusters\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m5372\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maffinity\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"precomputed\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_init\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m50\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0massign_labels\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"kmeans\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrandom_state\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_predict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_raw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mindex_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf_raw\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtolist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/sklearn/cluster/_spectral.py\u001b[0m in \u001b[0;36mfit_predict\u001b[0;34m(self, X, y)\u001b[0m\n\u001b[1;32m    543\u001b[0m             \u001b[0mCluster\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    544\u001b[0m         \"\"\"\n\u001b[0;32m--> 545\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_predict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    546\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    547\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/sklearn/base.py\u001b[0m in \u001b[0;36mfit_predict\u001b[0;34m(self, X, y)\u001b[0m\n\u001b[1;32m    460\u001b[0m         \u001b[0;31m# non-optimized default implementation; override when a better\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    461\u001b[0m         \u001b[0;31m# method is possible for a given clustering algorithm\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 462\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    463\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlabels_\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    464\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/sklearn/cluster/_spectral.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, X, y)\u001b[0m\n\u001b[1;32m    518\u001b[0m                                            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assign_labels)\u001b[0m\n\u001b[1;32m    262\u001b[0m                               \u001b[0meigen_solver\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0meigen_solver\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    263\u001b[0m                               \u001b[0mrandom_state\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrandom_state\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 264\u001b[0;31m                               eigen_tol=eigen_tol, drop_first=False)\n\u001b[0m\u001b[1;32m    265\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    266\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0massign_labels\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'kmeans'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/sklearn/manifold/_spectral_embedding.py\u001b[0m in 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\u001b[0mget_lapack_funcs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'getrs'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mlu\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m     \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetrs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlu\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpiv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrans\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrans\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moverwrite_b\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moverwrite_b\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0minfo\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mKeyboardInterrupt\u001b[0m: "]}]},{"cell_type":"code","metadata":{"id":"3LkmkfbP6yqA","colab_type":"code","colab":{}},"source":["labels_list = pd.DataFrame(sc, index = index_list, columns = [\"cluster_id\"])"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"W9j0axOYIR7P","colab_type":"code","outputId":"ce3e7274-7ac6-4ad3-f7ef-a6d706a391fb","executionInfo":{"status":"ok","timestamp":1588300061489,"user_tz":300,"elapsed":656,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":54}},"source":["from google.colab import  drive\n","drive.mount('/drive')\n","labels_list.to_csv(\"/drive/My Drive/clusters.csv\")"],"execution_count":72,"outputs":[{"output_type":"stream","text":["Drive already mounted at /drive; to attempt to forcibly remount, call drive.mount(\"/drive\", force_remount=True).\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"oFrDLKXb4BcG","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"31553d4d-1844-46aa-eae2-17650eee7d09","executionInfo":{"status":"ok","timestamp":1588296953631,"user_tz":300,"elapsed":2145,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}}},"source":["from google.colab import drive\n","drive.mount('/content/drive')"],"execution_count":47,"outputs":[{"output_type":"stream","text":["Mounted at /content/drive\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"DktXUOA9pzPI","colab_type":"code","outputId":"abe43d27-444d-4a13-8941-0f3af9c7db5b","executionInfo":{"status":"ok","timestamp":1588300156135,"user_tz":300,"elapsed":89031,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":886}},"source":["plt.figure(figsize = (20, 20))\n","plt.scatter(index_list, sc, c = sc, s = 50, cmap = \"viridis\")"],"execution_count":73,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.collections.PathCollection at 0x7f5b6b122f98>"]},"metadata":{"tags":[]},"execution_count":73},{"output_type":"display_data","data":{"image/png":"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kWypdzEJLUE/Gr2+2UaUiAcltN0aFbmMC3NGaWOUFBlTU2SpFA4rIqWZiV6ozQqIaFrvVc2N+v+zRtU1tio9lBQ0U6XZmRk6OZpM2X18LtsKCnWP7ZvVXFjoxymqZHx8bp1ep5eyd+v1YcKOo9l4yco1u3WM3t3y+OwdNvMPI1NSpHUeQx+6P33tKGkWOXNzcqI8WlGeqbiPR6FbFvzs4arsLFer+cf0DvFRfKHgpqVOUxfnDtfNa2t+t2mDdpfV6Mkb7Ry4uNV3doi0zBlGlJFS6v8oYCinC7Vt7UpEA6pvqNDHsvSrTPy9NlZc4/5Lofq6nTXC8+qoKFOMW63vjpvoa6cOFnlzc165cA+Pbl7p8qbm5USHaUfLj1fw2LjdN+br2lDWYks09SynNE6f1Su9tfVKs7j0bKc0fK5uu9vVc3N+vfXX9b64mIF7bDi3B6NTEhQVkysPjl5msanJOs3G9arqLFB09PSdfP07uu+xe/vXMcFB1XZ0qymDr/84ZDSfT7dd/Yy7a6p1ov798pjOpQW41P+4XrCkuyRemjLe9peXalop0sX5o7R5/Lm6JHtW7W+uEgVrc0aFhOn80bnKjUqSv/ctUMNHR0am5ikKanpSvVFa1dVlapbW3Wwvk77aqsVCIU1PjlZt82cpZkZWWoLBPSHzRu0s6pKde1tSo6K0oz0DCV7o/RmYYHiXC5NS8/Q2qJDclsO3TRtZtd5aVXhQT26fasK6uuU7I2S0+GQx7KUHZegGRkZen7fHhXU1aqosUkypEvGjNO3z16qdcVFenzndlW0NMvtsJQR49MdM+coJyFBO6oq9eB7mxUMh3VW9ki1BYOyDEPn5IxSarRPLX6//vjeJu2vqdH45GTdMj1PHaGQfrNxncqbmzUva5g+NWWazH7ULXZUVujd8jL5nC4tGzVasW53n9McEbZtrSsu0v7aGrUHAyptalKT36/5w4brkrHjJFv63ab1eiX/gELhsJZk5+gL8xYcs421BQJ67eAB1bW1aUJyipo6OlTc1KjhcXE6a8RIOUxTHcGgXj+Yr+rWFo1LStacrGGqbm3VGwX5CobDWjB8hLJiYrWyIF8H6+q0rbJCYdvuOg44TFNP7Nyux3ZulylD106eoob2dm0sKVZte7uinU61BAKKc7uVk5CoDF+0VhUWqi0Y0MyMTDkMU28ePKCq1jZlxsbou0uWanJqep/rZ1tlhd4rK5XXslRQX6+NpSUqa26UIUPjkpP1pXkLNSw2Vg+/v0WP7dyuuvZ2pUZF6YLRY5Tq8ykrJlaTUlK1+lCB2gIBlTU362BdrapbW5QS7dPUtHQNj43Vywf2qdHfoTi3RzEut+ZmDtOWynJVtrRo0YhsXZw7Rq8fzFdLIKBZGZmacFSdyh8K6YHNG7WrukpxbpfagkHZtnTVxMlaNCK72+/9xsEDeuXAflmmqUvHjj/mHNLY0aHX8w+ooqVZu6urVNncrML6OjUG/PK5XLpx6gzdNnOWXH2cLyOpam3RGwc/+N1zDtc/2oMBvZ6fr5q2Vk1ISdGsjCwZhqFQOKyHt23RxpISpft8unvOfMV7PMfMs9Xv1+82bVD+4XPf7TNndZ3T8+tqdf+G9Vp16KBs21ZadIziPG6NT07RWdk5WjwiW46j9jPbtvX0nt16/eABxbs9XXW6/jhSr9lbW6OxSUm6M2+OPFbfl65h29aDWzbr2T275XU69eX5CzU7c5hs29Yze3br1fz9ivd0liUrNu6Yad8pKtRvN65XSyCgUfGJ8odDirIs3TR9pt4tK9XTe3Z11e8P1NepuLFRU9PSNCo+QS8f2K/ixgblJibplul5yklI0MbSEm2tKFdpU6OGxcZpenqGZqRnqP5wHajs8PHpnOwc3fPy8zrU0CDLYSovI1PXTZ6mRSOy1eL36/5N61VQX68pqWm6dUZen3Wso3UEg/rVurV6Of+AHIahKyZM1O0zZslyOJRfW6ufr1vbda66a/Zcpfs+qG8FQiF9b/WberesTAket9J8PrWHQhoeE6uSpkbVtLbKkCF/OKw5WVm6bMx4/WnLZr1TXKSwHdb8YSP0+dlzlZOQKNu2tb6kWHtrqrWvtkZrCgvU6O/QlNR03T17rl4vyNeWslK1BoJKjvZqeGy8/OGwRsbFa2ZGht46VKit5eUqbKiT1+nUguHZ+vqCxT3Wa454r7RU/7XqdVU2Nys9xqdrJk7VxWPGKsHr7ff6+7gybNuOPIJheCStluRWZ6j0hG3b3440zaxZs+xNmzYNWiE/bE/u3qmvvPLioM3PefjgmeSNVnlL00nNK87t1i/Ov1h3PPeUgsf9lg7DkNvhUGsw2G26CckpeuraT/XrIPOFF5/Tc/v29Dmey+GQIakjFOpX2c/KztbqwsJun8e63fr7imuOOWn3ZmtFuW5++l/yh4IKhsOyTFO2LbUGA71OE2VZnSf9HoY5TVOLs0fqtxddqsaODt345OPKr6vttm4l6ZbpM/Wts87p+vt/1r+tX65/p88ynwzLNGWZpqalZehPly7vCit+snaV/rD51OxzhqQvzVug/9mwTsFwuM9xIx1hMnw+rfrM7V2hYFFDvS7+2/+pJXDs75eXnqnN5aX9LuMlY8bpvrOX6ryHH1Rde3u/p+uLx7JkSPrZeRfq4jHjVNPaqvMeflD1xy3jotwx+u3Fl3Wb3h8K6e4XntXrBw9EXC+RGJJ+cu4Fumri5K7PXti3R//24nMnNc++ps30xejJaz+llOjoYz7Pr6vVjU8+ocaO9q590Olw6MHLr9S0tJ4vGh7YvEE/XvtWt88tGep5z5SumzhFPzz3/F7Lt7OqUjf86zE1dHSc8HqQpOGxcfrrFVfp66+9ovUlRScxpw8Mi4lVdVurZEumaSgYDuvL8xZqxfgJmvfnPyjyXtRdT7+X2+FQlNOlhcNH9Hq8tkxTf7/yGuVlZEnqvIC54h8P62B9/YC/kyTNyxquu2fP1U1P/1OhXuoSTtNUoI/jxMkwDUNv33KHUqN9uuXJJ7SyqPs5xVTn+hrIdmGZptwOh0K2rZ+ee4EuGTu+a9h/vfmaHt72/oDK6TAMPbLias3JGi5Jen7vHn35lReGdN2cqPToaFW0tAx4P5qemq7SliZVtrQManni3G41dHR0+9xrWQrZthYOG6GVhQf7LK/L4dCT13yy17pFs9+v2559UlsrymXbkmUaCoVtfWfJUl09aUqf5SxubNANTz6u6paWHutdlmH0WJeQpO+cvVQ3Tpuh1/L364svv9B50RUKKhAOy5Ahp8OU0zQV5XTpS/MX6odvrZRt2wqGw3KYplwOh1oDATkMQ7Y6A+Qjjt/GTEmW6ZA/3L+6Wn+NS0rW85/8tMwebiY0dXTolmf+pZ1VlQqEwgraJ7bdW6bZeZ4xzBOexxEey5JtS4YhTU/P0J8uvULvFB3Snc8/rXAvv1OmL0av3nizvE6nCurrdNXjf1dtW9sx44yIjdPjV1+vlQX5+vbKNxQMh3r93aXOY9ijV16rWZlZA/4Ov1r3tn6/eYPMw7+7bds6b1Sulo+fqHteek6SuraRYTGx+uaiJbrtuSe7bRNfnb9Qn5s9T5L0xM7t+vprLx+zP5mGoT9ccrn+vu19vVFwsNfyGJKSo6L18BVXa0xSkoobG3TRIw91q9NdOWGSfnbehRG/24v79uruF589phyGpN9cdIkuGjOu1+kO1Nbowkce6nZOyvLFqKGjQ80B/zGfXz1hkn5y3oVq7GjXRY88pLLm5ojlGogop1PBcFj+o66L3A6HYlzuzjpBP8S73ao/7vjnMAz95bIVWpw9ss/pX9q/V5974dlunxuSpqWla0tFebdhN06ZrvuWLNVLB/bq8y88169y9mXh8BEqaWpUWWOjOgb5vPfQ5Vd2WxfBcFgX/PV/dbChrtv4DsPQfyw6WzfPyBvUcpxqhmFstm171pDNvx8hkSEp2rbtZsMwnJLWSLrHtu11vU3zUQqJKluaNO/PD3zYxRgSF44eo/s/0f1C9mgv79uru17sfnAZanFut9659U55LGev4zR1dGjRgw+oye/vdZwT4XY4dOWESXq/olw7qyojVjwfWn6lFo8YqfUlRbr+n48Najn6KuOynNH6zcWX6u2iQ7rhycdP2bIH25LsHP3l8hWybVszH/htjxcDJyLe4+kW3gwWr2XpX9d+Snc8+6SKGht7HOcbi87W7TOPPXbft/J1Pbx1y4BDgZ689ZnblBUbp7q2Vs364+9OKhjprwnJKXr+k5/u+jsYDmvxgw+osocLyhiXS2tuvkMxx92F31ZZrssffeSElv+zcy/QlUeFY0e0BgJa8Offq3GQjgUxLtegH1eO57UshcJh+U9xSGCZpnZ+7h5ZpqnrnviHNpQWn9T8+hMwDjWvZembi5foW2++NiTz91iW/nnNJzUhOUWv5x/Q7c89dULzcRiGdn7uHh2oq9UV/3ik3zdUMHg8lqUdd32hx1aRdz3/tN4sOHjMBZ3UuX09fMXVmpGR2et8w7atpf/3ZxU3NvYaMPTlwctW6K4XnlF7DwHTmeLIBffxbnvmSa0pKuy2bk8XLodDS7JH6tX8vm/gTE9L1+NXX6/5f/mDqlt7vtAfGRevipZmtfXzt3QYhjbd/jnFHdeiJ5Ln9+7Rva+91G0ZR8Lt42/i9RWWP3H1dUrzxWjxg3/sdxl6k+T1as3Nd2j+X/7Qaz3sh0vP03WTp/Y4LFK9xpC06fa7lODt3po/bNuadP+vBnxs/fGy8/Xojm3aUl42oOk+TKZhaPtn/00eZ+/XSXVtbcr74/0Dnrch6dtnnaP7Vr95EiXseb5DUV8wJO25+0vHPIVyz4vP6dkIDRzcDoceuHS5Fo8YOQQlOjWGOiTqs92t3elIrOo8/O/DrhOeMj9e0/1u90fFK/n71dHHCeybQ1Tp7ktrIKAX9u2NOM4ze3YpFB78TbEjFNITu3Yov662zw392yvfkCT9YPXKQS9HJB2hkF47eEDVra26b+Xrp3TZg21l4UEFw2FtKCketIBI0pAFRFJni6BfvbO214BIkn678dgcvT0Y0GM7tg1KQCRJP1qzWpL0s7fXnLID8t6aau2squz6e2VBvpr9/h6XHwyH9fSeXd0+//6qlSe8/P/3ztoeP39+355BveAe6oBIktqCwVMeEEmdv8v/vf+uypubtOkkAyLp9KgMtAWD+sFbK4ds/oFQSH96t/PG132rTvx4G7JtPbjlXf353U2n7cXyR117MKhn9+7u9nlVa4tW9hAQHZnm95s3RJzvuuIi1bS2nnBAJEn/8carfbbOPd39c/dOHX/zuby5SWtP44BI6jynv9aPgEiStlSU66X9+1Tf1nsdo7ChfkBhX8i29fjO7f0eX5J+vfGdHkOojlCox+0orMjH6++/tVI/emvVgMrQm7ZgUL/ftCFiPeznvZzPpcj1GlvSz97uedrX8w+cUF3gp2vf0vtnUEAkdQZi92+KfFz6+TtrTmjetqSfvD34179DVV+wJd2/cX3X38FwOGJAJHXuJ7/dsD7iOB93/er4xTAMh2EYWyRVSnrVtu2PzVrdcdQF0UdN2LZ7vQtyxGA+qjMQgXBYu6urIo6zs7oy4mNlJ6Pnnle6K2vqDAkKG07scY2T4XY4VNjQ+Tz0ma6uvU3vDuBxsg9byLa1tbIi4jhNxwVe5c3Nne3aB8mR/WN7H+UYTLak/bU1XX/vq63ptSLcFgweEygdcaC+9oSXX9NL8+xdVZW0yhiALeXlyq/r3gT7TNbfO/YnImTbXdvyyT5KtaW8TDuqq06LcO3jalNpSbfPDtbV9dovjC1pT3V1xHnur6056YCnurXljA+JwrbdLQzKj7BuTysDOD9vKiuJ+LjbQB9vlTTgViyF9Q0DXEJkBXX12lU9ONc8rYFAj/vZ0Wrb23od1te1146qnus9J1qPrG9vOyOPydt6eFTsmOGVJ/57DuU5dShsOKp7gLoI29bR9tfV9D3Sx1i/QiLbtkO2bU+XNEzSHMMwurX3NwzjDsMwNhmGsamqKvLF/Zkksx+dpZ6pDKnPpq0e68M5sTsMQ1l9dGyXFRMn9xBVPEK23WsnvUc78ihNoufUd4DmD4WVFu1TvKf/nWqermJdbuXERe7s+XTT1/bpdhzbuWKiN+qYfiJOVvrhY1Nf5RhMhqS0aN8HZYiOkbuXTiRdDkePZUuOiu5h7P6J6qVZdVZM7IA6u/+4Gx4Xp3Sfb1BDyw+bwxja3/9IXSC6h07jB2J4bJyyYk7dPovuenqxQLrPF7F/qKM7cu1Jms8np3ly9ZFop6vfN6hOZ8cHQn2t29PGAFqBjU5IlBXh+Hkiv2NfL7w4XuIgd7ybFOVVRh/beX95LKurA+3eeCN0J9HXMbK34X0tszdH+ps80wyLi4s4POskrmEjbd+no5yExK7/x7r6d12UehL10Y+DAdWqbNuul/SmpG4PHNu2/YBt27Ns256VkpIyWOX70H1t/uIPuwhDZnJqWo9vbTna3bPnn6LSHMsyTV02dkLEca6cMGlIlu0wDC0cNqLPdSNJX5m3SJL0b3NP7XpyGIYmpKRoWGycvnS4DGeq3IREuS1L547O7erUfTAM5ryO57Wc+uLcBYqJsI2smDDxmL9j3W6dPTJn0Mpw74LO3/1rC07dMSre49XsrGFdf1+QO6bXcQ31vI9+ed6CE17+TdNm9Pj55eMnyjGIVbxTUTny9uMNLUPBkPTZvDkalZCoYR+RsMI0DH1m2vQhm7/XsnTz9M4OLv9tzryTmtfn58zTZ6bPkOdMaFnxEWQahj41ZVq3z0fExWtsYlKPnS5HWU7dMmNmxPkuyc7pcdqBuGfugn69uel0NjdrWLcbbKMSEjUqPuGk189QchiGxif379ol0xejKydMinhjwudyRQxBjmdIun5Kz/3z9Obm6TN73F4swzihdX3PnAW6d+Hg1CcMSV+avzBiPeyGqd33wyO+uiByvba34ZePm3BCNYHPTJ/ZeePkDHPP3Mj1qa+eRP3wxl7qW6ere4/6rm7L0rTUtIjjux0O3TpzyLrz+Ujo8yrKMIwUwzDiD//fK+k8Sd0f6P6ImpiaqhunDn7l02tZGowqoinprrzZA54u2unUXy5b0ed4n501e8guJJJ6uQtimaZ+ccHFfb6eMM3n04/PvUBuh9V1B89lmid1qeg0TWXExOin51+oP116hWIipNHT0tJ1zaTORnUrJkzSoh5e5z4UoiynkrxR+vWFl0iSrp40WTPTe+9QcygsGpbd90j9YBmmHr/6us7/m6b+dOnyHn+/SGFMT0bExunRK68Z9Eqpoc47Tp+eNl3zh4/QX5df3eMyhsXG6ttnL+32+Y+Wnj8o+9Mnp0zV1LQMSZ0V8DtOwYnO5XDofy9fccz3jXI69btPXCavZXW16nOaDrkdln607Pwe776fP3qMzh81esDLH5eUrC/2UiFKjorSzy+4SK6TvJMvdf6+f7zsCiUOoAPRvnS+lajzgsFQZ8i4ZGSO/nrFVYO2DFOGXKZDI/poWfadJcu6WkA+tPwqeRwnflGa6PXq3oUffkj90OUr9I3FS5Q8yC06TRnyWJZumDq969XXn5k+U+MTk09oft8+6xzFut1aODxbn54287S9U3uigWuMyyVrCFp0RSpNlNM5oLvB/33ehb22fvzNxZcqyRvVta+ahiGvZWn5+Ak6b1RuxPm6LUsPXLpc0U7nCR2Hlo8br5umz9CdebPlsSw5etg2XA6HPJalayZOlseyurYft+mQwzCOCQycJ1kXOhFey9IfL1ne47DfXnyZEjxeRQ0gOOnJYH6nI/M6Uqf6w6XLdc+cyDf8nKapv115jbxOp/542RU97sMey9IjV1ytFeMn9vtmwH1nLx1wC8Obps3Q3Kzhx7SwjXI6lR2foLtnzztmO/JYlmJcbn2hl5D7nJE5umTceE1Ny9Ane+lM+nOz5ig9uu99ze2w9OuLLlWC16s/Xbaix98sNyFRX5nf+7ljVEKi7pzZ87XNHXmzNeqoViPHLNuy9JuLLulxmGUYPZZlTGKSvjx/kR5ecc2g31w0pG77stM0B+X6794Fi5Qc1b3z7qPlJCTozgjXiL7eZLyJAAAgAElEQVReWmdPTknVvQsW65bpkcPxgUj2Rina6RyS896X5i3o9pKU/11+lVy9/J6mYei80bm6YvzEHoejU3/ebjZV0kOSHOrMJB6zbfu7kab5KL3d7IiNJcX6r5Wv6VBDg7yWpcmpaSppalK73y+fx6PGjg6F7bB8LrcaO9rlD4WUHRevayZN1mv5B7Srukoey1JmTKwyfDH6xNhxWjBshP669T39ftMGNXR0yGs5tTRnlK6fPFXfefN17T78rOSR1xTGuz3aW1uj2rY2WQ5Ty0aO1neWLFWsx6MDtTX60ZpV2lldpSRvlGakZ6iuvU0JHq8uHTteKwsO6rl9e2RKWj5hoj6bN6fXitLxbNvWg+9t1i/Wv62WQECGOl+fGgqH5HQ4NDklTeePztW2ygrFuN06Kztbz+7ZrffKy+S2nPI5nSpvblJ7MCSnw9Tw2DjdPWeeluWM1vqSIn1/9UoVNtTLYzl1wehcfW72XGUO4GRZ3Nigf2zfpvz6Oo1PTta1E6doY2mJ7t+0XtUtzQrbUlswINM0tXRkju5bcq4a2tv1tVde1HvlZZJsRbvcmp6eoeXjJ+qi3DFd66ahvV1P7Nqul/bv057qavnDISV5vfr6wsW6dOyEbnfMXj2wT/+18nVVtLTIVOeJ7svzFuh/Nq7T/poaGYahUfHxskxLB+vrZDlMLRw+QkUNDV19GjgdDpkyZBidjyilRfuU4PXKkOR0OLRoRLYuHTte3uMO7s/t2aXvv7VS1a2tMgxDSV6v8tKztKrwoFpDnc8WOwxDnxgzTv82Z55+/s7bWlNUoGAorFi3W4ZhKNbt1qLhI/TYzu1qPvzK0mjLqez4eNW2tWl4XKy+sXCJpmdkqKC+Tt9b/aZ2VVcpJSpaK8ZP1D937dCBulp5HJ0XVismTNKP16zShtJiNbW368gTzpZh6LJxE/TDpefJddx2WNXSrB+tWa31JcWKcbl0R95sXTF+ojaWFus/33hNBQ31MiRNSE7VnbPmaO2hAq0qLFBjR4eSory6beZsXTdpigzDUEN7u368ZpXeOlQoh2nKMgwVNzUqcPgVulEupzwOS6lRUSptbFKt/4M+uI5c2Ec7XUqNjlaC16vhcfG6ZuJkTTzqFcpHL8PrdOoz02bok1Om9fq4YkcwqOf37dGDW97VoYZ6uR0OJUdFq6C+Tv5QWPEej742f5HeLjmkTaUlcpqmXJal5g6/MmNi9PWFZx3TmueI98vL9KM1q7SnplqBUFiWw5TDMGQZpjJjYjQ9PUNvHSpUU0eHTLPzdbmZvhjdu3CxsmJi9c03XtO7ZaVymIby0jNV0dqswoYGuR2Oztfpzp2vWHfPwUlVS4v+sWOrdlVXKyc+XtdNnqphsZGbQa8qPKifv7NWZc1N8josjUpM1MLh2RoVn6Dvrn5DxY2NsiWlRkfrq/MXacWESX0+Alra1KgHt2zWmkOHFLZt5SYkan9tjQoO9xk2OiFR3z1nmdKiY/S1V1/Q5rKyrtfkJnm9un7SVN0yM0/xHq86gkE9svV9/em9TWroaFdKVJTOG5Wr9SXFqmppkcfpVEN7u5o6OhSWLcs0tWDYCH1x7nz94d1Ner+iXAkej+6aNVfLRo3SS/v3682CA4pyunTF+ImanZklwzBU1dys2559SjuqK2XbdmcLE8OQPxiUaZqybVsOw1R6TIyW5YySbUvFTY0Kh8PqCAXV2NEhn8utGekZunbyFGXFxOr5fXt0/8b1qmhuUsiW3JZDE1NS9Z9nLdGohKRj1llrIKDfbVyvp/fsVG1bmwzDUFq0T5eMHad1xUXaWVUly2FqVkaWfC6XNpYWy2k6dP3kqbplRp4cpql9tdX64eqVer+8XO2hoDyWpdEJSUr1+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\n","text/plain":["<Figure size 1440x1440 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"jQby7rxbMik3","colab_type":"code","colab":{}},"source":["# As shown above, 0 community has the largets nodes"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"a4b6lwhuEaqT","colab_type":"code","outputId":"1996c83a-9f7f-4197-dda9-16a3d0734500","executionInfo":{"status":"ok","timestamp":1588300346119,"user_tz":300,"elapsed":167002,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":892}},"source":["G = nx.from_numpy_matrix(df_raw.to_numpy())\n","\n","plt.figure(figsize = (12, 12))\n","nx.draw(G)\n","plt.show()"],"execution_count":74,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 864x864 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"LkZPII472tlo","colab_type":"code","outputId":"a885ea4f-e0a0-40c8-f679-835896ec87cb","executionInfo":{"status":"ok","timestamp":1588301131260,"user_tz":300,"elapsed":161632,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":683}},"source":["plt.figure(figsize = (12, 12))\n","plt.axis('off')\n","pos = nx.spring_layout(G)\n","#ec = nx.draw_networkx_edges(G, pos, alpha=0.2)\n","nc = nx.draw_networkx_nodes(G, pos, nodelist = G.nodes(), node_size = 60, node_color = sc)\n","\n","plt.show()"],"execution_count":75,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 864x864 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"VLxXmyVLW9XG","colab_type":"code","colab":{}},"source":["\"\"\"Manually check clusters\"\"\"\n","#link = \"https://drive.google.com/open?id=1Lychxz041UVAfvN3YKQAErbjPnEPjW6_\"\n","\n","#url, id = link.split('=')\n","\n","#downloaded = drive.CreateFile({'id':id}) \n","#downloaded.GetContentFile(\"Before_id_new.csv\") \n","\n","df_comp = pd.read_csv(\"Before_id_new.csv\")\n","\n","#link = \"https://drive.google.com/open?id=1H62H5xXwIs7_CKzPD-YMGSIO5ntSSn2F\"\n","#url, id = link.split('=')\n","#downloaded = drive.CreateFile({'id':id}) \n","#downloaded.GetContentFile(\"clusters.csv\") \n","\n","labels_list = pd.read_csv(\"clusters.csv\")"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"h3PcWnkbJTWw","colab_type":"code","outputId":"6d7b3a7e-0fd9-4684-a553-b754b3c2a013","executionInfo":{"status":"ok","timestamp":1588301721552,"user_tz":300,"elapsed":596,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":949}},"source":["df_comp"],"execution_count":77,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>id</th>\n","      <th>title</th>\n","      <th>abstract</th>\n","      <th>publish_time</th>\n","      <th>authors</th>\n","      <th>journal</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>b1</td>\n","      <td>ACUTE HEPATITIS ASSOCIATED WITH MOUSE LEUKEMIA...</td>\n","      <td>Observations on the behavior of MHV (Pr) in th...</td>\n","      <td>1955-10-31</td>\n","      <td>Nelson_John_B.</td>\n","      <td>j exp med</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>b2</td>\n","      <td>THE ENHANCING EFFECT OF MURINE HEPATITIS VIRUS...</td>\n","      <td>Pleuropneumoma-like organisms (PPLO) of the ca...</td>\n","      <td>1957-08-01</td>\n","      <td>Nelson_John_B.</td>\n","      <td>j exp med</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>b3</td>\n","      <td>Enhancement of the Pathogenicity of Mouse Hepa...</td>\n","      <td>NaN</td>\n","      <td>1961-09-10</td>\n","      <td>Gledhill_A._W.</td>\n","      <td>br j cancer</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>b4</td>\n","      <td>THE CELLULAR NATURE OF GENETIC SUSCEPTIBILITY ...</td>\n","      <td>Using peritoneal macrophage cultures it was fo...</td>\n","      <td>1963-05-01</td>\n","      <td>Kantoch_M.;Warwick_A.;Bang_F._B.</td>\n","      <td>j exp med</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>b5</td>\n","      <td>AN ELECTRON MICROSCOPE STUDY OF THE DEVELOPMEN...</td>\n","      <td>Samples taken at different intervals of time f...</td>\n","      <td>1965-01-01</td>\n","      <td>David-Ferreira_J._F.;Manaker_R._A.</td>\n","      <td>j cell biol</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>40477</th>\n","      <td>b40478</td>\n","      <td>Prevalence of Group A Streptococcus in Primary...</td>\n","      <td>Pharyngitis is usually caused by a viral infec...</td>\n","      <td>2019-12-30</td>\n","      <td>Greer_Rachel;Althaus_Thomas;Ling_Clare;Intrala...</td>\n","      <td>am j trop med hyg</td>\n","    </tr>\n","    <tr>\n","      <th>40478</th>\n","      <td>b40479</td>\n","      <td>Investigation of the Role of the Spike Protein...</td>\n","      <td>Porcine epidemic diarrhea virus (PEDV) has con...</td>\n","      <td>2019-12-30</td>\n","      <td>Kao_Chi-Fei;Chang_Hui-Wen</td>\n","      <td>viruses</td>\n","    </tr>\n","    <tr>\n","      <th>40479</th>\n","      <td>b40480</td>\n","      <td>Feline Infectious Peritonitis Virus Nsp5 Inhib...</td>\n","      <td>Feline infectious peritonitis (FIP), caused by...</td>\n","      <td>2019-12-30</td>\n","      <td>Chen_Si;Tian_Jin;Li_Zhijie;Kang_Hongtao;Zhang_...</td>\n","      <td>viruses</td>\n","    </tr>\n","    <tr>\n","      <th>40480</th>\n","      <td>b40481</td>\n","      <td>Pathogens Causing Respiratory Tract Infections...</td>\n","      <td>INTRODUCTION: While acute respiratory tract in...</td>\n","      <td>2019-12-30</td>\n","      <td>Knobbe_Rebecca_B;Diallo_Abdallah;Fall_Amary;Gu...</td>\n","      <td>microbiol insights</td>\n","    </tr>\n","    <tr>\n","      <th>40481</th>\n","      <td>b40482</td>\n","      <td>Porcine Epidemic Diarrhea Altered Colonic Micr...</td>\n","      <td>Porcine epidemic diarrhea (PED) is a major gas...</td>\n","      <td>2019-12-30</td>\n","      <td>Tan_Zhen;Dong_Wanting;Ding_Yaqun;Ding_Xiangdon...</td>\n","      <td>genes (basel)</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>40482 rows × 6 columns</p>\n","</div>"],"text/plain":["           id  ...             journal\n","0          b1  ...           j exp med\n","1          b2  ...           j exp med\n","2          b3  ...         br j cancer\n","3          b4  ...           j exp med\n","4          b5  ...         j cell biol\n","...       ...  ...                 ...\n","40477  b40478  ...   am j trop med hyg\n","40478  b40479  ...             viruses\n","40479  b40480  ...             viruses\n","40480  b40481  ...  microbiol insights\n","40481  b40482  ...       genes (basel)\n","\n","[40482 rows x 6 columns]"]},"metadata":{"tags":[]},"execution_count":77}]},{"cell_type":"code","metadata":{"id":"EdOuxuKJWgzn","colab_type":"code","outputId":"ef0f06e5-01dd-4c3a-bf9d-6651574e70a5","executionInfo":{"status":"ok","timestamp":1588301731903,"user_tz":300,"elapsed":587,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":419}},"source":["labels_list.columns = [\"author\", \"cluster_id\"]\n","labels_list.groupby(\"cluster_id\")[\"cluster_id\"].value_counts()\n","labels_list"],"execution_count":78,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>author</th>\n","      <th>cluster_id</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>kantoch m</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>bang f b</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>li xingzhi</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>wang xianhe</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>escoval a</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>7951</th>\n","      <td>leung ming-ying</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>7952</th>\n","      <td>licon abel</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>7953</th>\n","      <td>li xinmin</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>7954</th>\n","      <td>budev marie</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>7955</th>\n","      <td>wang yz</td>\n","      <td>3</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>7956 rows × 2 columns</p>\n","</div>"],"text/plain":["                author  cluster_id\n","0           kantoch m            0\n","1            bang f b            0\n","2          li xingzhi            0\n","3         wang xianhe            0\n","4           escoval a            0\n","...                ...         ...\n","7951  leung ming-ying            0\n","7952       licon abel            0\n","7953        li xinmin            0\n","7954      budev marie            0\n","7955          wang yz            3\n","\n","[7956 rows x 2 columns]"]},"metadata":{"tags":[]},"execution_count":78}]},{"cell_type":"code","metadata":{"id":"4EmisZcKX35L","colab_type":"code","outputId":"96b55ef2-cde9-4178-a547-eb5b931a4e21","executionInfo":{"status":"ok","timestamp":1588302692660,"user_tz":300,"elapsed":566,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":419}},"source":["#Typo or pre processing error: We could have used NLP for better pre processing\n","\n","#for author in labels_list[\"author\"]:\n","#  print(author)\n","labels_list[labels_list[\"cluster_id\"] ==0]"],"execution_count":95,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>author</th>\n","      <th>cluster_id</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>kantoch m</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>bang f b</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>li xingzhi</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>wang xianhe</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>escoval a</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>7950</th>\n","      <td>liu yuan-yuan</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>7951</th>\n","      <td>leung ming-ying</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>7952</th>\n","      <td>licon abel</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>7953</th>\n","      <td>li xinmin</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>7954</th>\n","      <td>budev marie</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>6359 rows × 2 columns</p>\n","</div>"],"text/plain":["                author  cluster_id\n","0           kantoch m            0\n","1            bang f b            0\n","2          li xingzhi            0\n","3         wang xianhe            0\n","4           escoval a            0\n","...                ...         ...\n","7950    liu yuan-yuan            0\n","7951  leung ming-ying            0\n","7952       licon abel            0\n","7953        li xinmin            0\n","7954      budev marie            0\n","\n","[6359 rows x 2 columns]"]},"metadata":{"tags":[]},"execution_count":95}]},{"cell_type":"code","metadata":{"id":"6vBhX8FoZG9I","colab_type":"code","outputId":"ce197732-3c03-4a2c-a606-f9dd8947b5ca","executionInfo":{"status":"ok","timestamp":1588301830525,"user_tz":300,"elapsed":715,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":419}},"source":["labels_list[labels_list[\"cluster_id\"] ==1]"],"execution_count":83,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>author</th>\n","      <th>cluster_id</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>23</th>\n","      <td>dicaprio erin</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>hughes john</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>43</th>\n","      <td>shin yoo-sub</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>44</th>\n","      <td>hwang da-bin</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>71</th>\n","      <td>grassi germana</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>7842</th>\n","      <td>ugorski maciej</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>7883</th>\n","      <td>yao yongxiu</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>7884</th>\n","      <td>kemp fred</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>7915</th>\n","      <td>london laura</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>7916</th>\n","      <td>ikonen niina</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>722 rows × 2 columns</p>\n","</div>"],"text/plain":["               author  cluster_id\n","23     dicaprio erin            1\n","24       hughes john            1\n","43      shin yoo-sub            1\n","44      hwang da-bin            1\n","71    grassi germana            1\n","...               ...         ...\n","7842  ugorski maciej            1\n","7883     yao yongxiu            1\n","7884       kemp fred            1\n","7915    london laura            1\n","7916    ikonen niina            1\n","\n","[722 rows x 2 columns]"]},"metadata":{"tags":[]},"execution_count":83}]},{"cell_type":"code","metadata":{"id":"-XRPfkxMZIhp","colab_type":"code","outputId":"f7a922cb-4535-4eeb-f54f-a7f78c3d9008","executionInfo":{"status":"ok","timestamp":1588301835342,"user_tz":300,"elapsed":610,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":111}},"source":["labels_list[labels_list[\"cluster_id\"] ==2]"],"execution_count":84,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>author</th>\n","      <th>cluster_id</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>4165</th>\n","      <td>mercorelli beatrice</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>4168</th>\n","      <td>loregian arianna</td>\n","      <td>2</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                    author  cluster_id\n","4165  mercorelli beatrice            2\n","4168     loregian arianna            2"]},"metadata":{"tags":[]},"execution_count":84}]},{"cell_type":"code","metadata":{"id":"s9JjPJkuWOMY","colab_type":"code","outputId":"2f6f50bc-3519-4126-90a8-b2940173f760","executionInfo":{"status":"ok","timestamp":1588054167360,"user_tz":300,"elapsed":260,"user":{"displayName":"sik","photoUrl":"","userId":"00543779398285328827"}},"colab":{"base_uri":"https://localhost:8080/","height":391}},"source":["#find better way to merge, merge if search author within the authors section\n","\n","\n","\n","\n","\n","df_full = pd.merge(labels_list, df_comp, left_on = \"journal\", right_on = \"journal\", how = \"inner\")\n","df_full"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>journal</th>\n","      <th>cluster_id</th>\n","      <th>id</th>\n","      <th>title</th>\n","      <th>abstract</th>\n","      <th>publish_time</th>\n","      <th>authors</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>13th international conference on theory and ap...</td>\n","      <td>0</td>\n","      <td>b37267</td>\n","      <td>Global Stability Analysis of HIV+ Model</td>\n","      <td>We developed and studied a mathematical model ...</td>\n","      <td>2018-12-29</td>\n","      <td>Saad__Farouk_Tijjani;Sanlidag__Tamer;Hincal__E...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>3 biotech</td>\n","      <td>0</td>\n","      <td>b28392</td>\n","      <td>Sequence-based approach for rapid identificati...</td>\n","      <td>Human papilloma virus (HPV) is the primary eti...</td>\n","      <td>2016-01-27</td>\n","      <td>Singh__Krishna_P.;Verma__Neeraj;Akhoon__Bashir...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3 biotech</td>\n","      <td>0</td>\n","      <td>b32454</td>\n","      <td>MERS‐CoV papain-like protease (PL(pro)): expre...</td>\n","      <td>Within a decade, MERS-CoV emerged with nearly ...</td>\n","      <td>2017-05-30</td>\n","      <td>Malik__Ajamaluddin;Alsenaidy__Mohammad_A.</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3 biotech</td>\n","      <td>0</td>\n","      <td>b36529</td>\n","      <td>Identification and characterization of the mye...</td>\n","      <td>Myeloid differentiation factor 88 (MyD88) is a...</td>\n","      <td>2018-09-29</td>\n","      <td>Yu__Lintian;Zhang__Long;Yang__Hua;Gui__Guohong...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>a history of health &amp; fitness: implications fo...</td>\n","      <td>0</td>\n","      <td>b33374</td>\n","      <td>Building the Infrastructure and Regulations Ne...</td>\n","      <td>1. To recognize the importance to the maintena...</td>\n","      <td>2017-09-19</td>\n","      <td>Shephard__Roy_J.</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>37864</th>\n","      <td>zoonoses public health</td>\n","      <td>0</td>\n","      <td>b20224</td>\n","      <td>Ecology of Zoonotic Infectious Diseases in Bat...</td>\n","      <td>Bats are hosts to a range of zoonotic and pote...</td>\n","      <td>2013-02-10</td>\n","      <td>Hayman__D_T_S;Bowen__R_A;Cryan__P_M;McCracken_...</td>\n","    </tr>\n","    <tr>\n","      <th>37865</th>\n","      <td>zoonoses public health</td>\n","      <td>0</td>\n","      <td>b31588</td>\n","      <td>Serosurvey of Coxiella burnetii (Q fever) in D...</td>\n","      <td>Dromedary camels (Camelus dromedarius) are an ...</td>\n","      <td>2017-02-08</td>\n","      <td>Browne__A._S.;Fèvre__E._M.;Kinnaird__M.;Muloi_...</td>\n","    </tr>\n","    <tr>\n","      <th>37866</th>\n","      <td>zoonoses public health</td>\n","      <td>0</td>\n","      <td>b32147</td>\n","      <td>Detection of potentially novel paramyxovirus a...</td>\n","      <td>Bats and rodents are being increasingly recogn...</td>\n","      <td>2017-04-18</td>\n","      <td>Berto__A.;Anh__P._H.;Carrique‐Mas__J._J.;Simmo...</td>\n","    </tr>\n","    <tr>\n","      <th>37867</th>\n","      <td>zoonoses public health</td>\n","      <td>0</td>\n","      <td>b34033</td>\n","      <td>Zoonotic origin and transmission of Middle Eas...</td>\n","      <td>Since the emergence of Middle East respiratory...</td>\n","      <td>2017-12-13</td>\n","      <td>Paden__C._R.;Yusof__M._F._B._M.;Al_Hammadi__Z....</td>\n","    </tr>\n","    <tr>\n","      <th>37868</th>\n","      <td>zoonoses public health</td>\n","      <td>0</td>\n","      <td>b34564</td>\n","      <td>Hepatitis E in southern Vietnam: Seroepidemiol...</td>\n","      <td>Viral pathogens account for a significant prop...</td>\n","      <td>2018-02-01</td>\n","      <td>Berto__A.;Pham__H._A.;Thao__T._T._N.;Vy__N._H....</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>37869 rows × 7 columns</p>\n","</div>"],"text/plain":["                                                 journal  ...                                            authors\n","0      13th international conference on theory and ap...  ...  Saad__Farouk_Tijjani;Sanlidag__Tamer;Hincal__E...\n","1                                              3 biotech  ...  Singh__Krishna_P.;Verma__Neeraj;Akhoon__Bashir...\n","2                                              3 biotech  ...          Malik__Ajamaluddin;Alsenaidy__Mohammad_A.\n","3                                              3 biotech  ...  Yu__Lintian;Zhang__Long;Yang__Hua;Gui__Guohong...\n","4      a history of health & fitness: implications fo...  ...                                   Shephard__Roy_J.\n","...                                                  ...  ...                                                ...\n","37864                             zoonoses public health  ...  Hayman__D_T_S;Bowen__R_A;Cryan__P_M;McCracken_...\n","37865                             zoonoses public health  ...  Browne__A._S.;Fèvre__E._M.;Kinnaird__M.;Muloi_...\n","37866                             zoonoses public health  ...  Berto__A.;Anh__P._H.;Carrique‐Mas__J._J.;Simmo...\n","37867                             zoonoses public health  ...  Paden__C._R.;Yusof__M._F._B._M.;Al_Hammadi__Z....\n","37868                             zoonoses public health  ...  Berto__A.;Pham__H._A.;Thao__T._T._N.;Vy__N._H....\n","\n","[37869 rows x 7 columns]"]},"metadata":{"tags":[]},"execution_count":25}]},{"cell_type":"code","metadata":{"id":"ehYBSvVMWQEP","colab_type":"code","colab":{}},"source":["#cols = df_full.columns.tolist()\n","#cols = cols[-1:] + cols[:-1]\n","#df_full = df_full[cols]"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"mv1WEp-EXXse","colab_type":"code","colab":{}},"source":["#Random samples for more than 5 nodes: cluster 0 / 5 / 12 / 13 / 18 / 20 :: else: replace\n","df_2 = df_full.drop_duplicates([\"cluster_id\", \"journal\"])\n","df_2\n","\n","df_test = df_2.groupby(\"cluster_id\").apply(lambda x: x.sample(n = 5, replace = True))\n","\n","from google.colab import  drive\n","drive.mount('/drive')\n","df_test.to_csv(\"/drive/My Drive/df_test.csv\")"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"g4PjRCpCuNCi","colab_type":"code","colab":{}},"source":["\"\"\"Bag of Words (Frequency of words)\"\"\""],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"pb4XbkUYiAdm","colab_type":"code","colab":{}},"source":["df_nlp = df_full[[\"cluster_id\", \"abstract\"]].astype(\"U\")\n","df_nlp_g = df_nlp.groupby(\"cluster_id\")[\"abstract\"].apply(list)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"Yr93TD3bwh9D","colab_type":"code","outputId":"a41ff0fa-e7ed-4ffd-9adc-d06f03c39173","executionInfo":{"status":"ok","timestamp":1588054913545,"user_tz":300,"elapsed":19603,"user":{"displayName":"sik","photoUrl":"","userId":"00543779398285328827"}},"colab":{"base_uri":"https://localhost:8080/","height":785}},"source":["\"\"\"Frequency of words\"\"\"\n","from sklearn.feature_extraction.text import CountVectorizer\n","nlp_words = []\n","for i in range(len(df_nlp_g)):\n","  vectorizer = CountVectorizer(analyzer = \"word\", tokenizer = None, preprocessor = None, stop_words = None, ngram_range = (1, 2), max_features = 500)\n","  features = vectorizer.fit_transform(df_nlp_g[i]).todense()\n","  sum_words = features.sum(axis=0)\n","  words_order = [(word, sum_words[0, idx]) for word, idx in vectorizer.vocabulary_.items()]\n","  words_order =sorted(words_order, key = lambda x: x[1], reverse=True)\n","  print(f\"Cluster {i+1}\")\n","  #print(vectorizer.vocabulary_)\n","  print(words_order)\n","  nlp_words.append(words_order)\n","  #print(features)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Cluster 1\n","[('the', 328529), ('of', 276528), ('and', 237409), ('in', 172756), ('to', 130479), ('with', 67008), ('for', 66651), ('that', 56707), ('is', 48632), ('of the', 46774), ('were', 45124), ('was', 43117), ('by', 41625), ('virus', 36789), ('as', 35470), ('in the', 35205), ('this', 32322), ('from', 32136), ('we', 31661), ('are', 30538), ('on', 28060), ('or', 24918), ('infection', 24590), ('an', 24570), ('be', 23426), ('viral', 23221), ('cells', 20549), ('these', 19458), ('respiratory', 18488), ('have', 18254), ('viruses', 17630), ('protein', 17213), ('at', 16751), ('which', 16312), ('disease', 15940), ('study', 15245), ('cell', 14871), ('human', 14509), ('not', 14392), ('results', 14368), ('patients', 14278), ('to the', 13410), ('has', 13208), ('influenza', 13186), ('been', 12786), ('and the', 12768), ('sars', 11967), ('rna', 11451), ('also', 11238), ('can', 11223), ('cov', 11171), ('health', 11078), ('for the', 11011), ('using', 10584), ('between', 10570), ('their', 10406), ('infections', 10397), ('may', 10380), ('but', 10259), ('other', 10028), ('associated', 9524), ('two', 9427), ('clinical', 9418), ('during', 9348), ('proteins', 9219), ('it', 9101), ('specific', 9077), ('data', 9039), ('host', 8987), ('used', 8948), ('on the', 8755), ('both', 8695), ('infected', 8563), ('high', 8530), ('than', 8493), ('our', 8489), ('more', 8478), ('abstract', 8464), ('based', 8427), ('most', 8419), ('expression', 8368), ('with the', 8316), ('infectious', 8294), ('against', 8242), ('all', 8189), ('analysis', 8173), ('coronavirus', 8048), ('immune', 7997), ('its', 7798), ('acute', 7701), ('diseases', 7634), ('that the', 7604), ('replication', 7598), ('however', 7502), ('response', 7486), ('one', 7431), ('gene', 7387), ('such', 7281), ('different', 7257), ('into', 7255), ('studies', 7252), ('control', 7222), ('new', 7153), ('in this', 7101), ('methods', 7080), ('to be', 6999), ('identified', 6979), ('time', 6953), ('found', 6905), ('pcr', 6884), ('after', 6836), ('activity', 6822), ('samples', 6815), ('this study', 6775), ('severe', 6703), ('associated with', 6595), ('potential', 6579), ('including', 6551), ('treatment', 6544), ('role', 6538), ('mice', 6527), ('had', 6520), ('10', 6511), ('type', 6506), ('important', 6493), ('vaccine', 6362), ('no', 6362), ('positive', 6274), ('well', 6246), ('system', 6172), ('showed', 6159), ('development', 6131), ('mers', 6051), ('cases', 5977), ('among', 5823), ('detected', 5814), ('induced', 5792), ('risk', 5771), ('only', 5728), ('use', 5701), ('antiviral', 5648), ('model', 5642), ('detection', 5583), ('syndrome', 5564), ('pathogens', 5542), ('from the', 5539), ('could', 5493), ('compared', 5459), ('first', 5444), ('there', 5378), ('children', 5375), ('group', 5270), ('have been', 5257), ('sars cov', 5251), ('by the', 5215), ('increased', 5206), ('ifn', 5177), ('of this', 5156), ('responses', 5149), ('binding', 5141), ('novel', 5124), ('here', 5032), ('strains', 5025), ('three', 5020), ('significant', 4918), ('has been', 4892), ('significantly', 4865), ('such as', 4865), ('assay', 4821), ('non', 4818), ('species', 4794), ('transmission', 4766), ('related', 4737), ('of these', 4718), ('factors', 4703), ('levels', 4692), ('nan', 4669), ('within', 4667), ('when', 4655), ('antibodies', 4629), ('can be', 4609), ('de', 4609), ('through', 4608), ('number', 4606), ('genes', 4604), ('further', 4602), ('sequence', 4573), ('mers cov', 4519), ('background', 4507), ('molecular', 4477), ('observed', 4449), ('present', 4431), ('years', 4428), ('public', 4402), ('review', 4396), ('genome', 4341), ('antibody', 4305), ('respiratory syndrome', 4274), ('many', 4235), ('cellular', 4235), ('several', 4228), ('while', 4210), ('like', 4196), ('the most', 4187), ('vaccines', 4181), ('higher', 4181), ('some', 4169), ('common', 4167), ('as well', 4083), ('anti', 4080), ('those', 4077), ('developed', 4062), ('will', 4060), ('dna', 4046), ('effective', 4023), ('research', 4022), ('major', 4006), ('at the', 3997), ('care', 3994), ('provide', 3936), ('acid', 3934), ('highly', 3924), ('they', 3898), ('acute respiratory', 3893), ('well as', 3887), ('respectively', 3884), ('strain', 3870), ('effects', 3864), ('receptor', 3850), ('days', 3834), ('reported', 3815), ('findings', 3809), ('number of', 3808), ('cause', 3774), ('here we', 3764), ('effect', 3742), ('membrane', 3737), ('based on', 3729), ('development of', 3712), ('patients with', 3706), ('the first', 3688), ('available', 3654), ('age', 3636), ('production', 3635), ('known', 3607), ('recent', 3602), ('outbreak', 3599), ('il', 3577), ('hiv', 3555), ('although', 3542), ('low', 3541), ('95', 3537), ('lung', 3525), ('population', 3489), ('information', 3483), ('demonstrated', 3466), ('of viral', 3457), ('mechanisms', 3438), ('animals', 3424), ('addition', 3413), ('level', 3405), ('early', 3395), ('public health', 3374), ('animal', 3374), ('mortality', 3372), ('over', 3356), ('conclusions', 3353), ('revealed', 3345), ('suggest', 3336), ('function', 3330), ('each', 3325), ('single', 3319), ('pathogen', 3315), ('epidemic', 3301), ('method', 3289), ('show', 3287), ('target', 3280), ('humans', 3275), ('mediated', 3274), ('structure', 3220), ('evidence', 3204), ('sequences', 3203), ('during the', 3197), ('as the', 3186), ('rate', 3177), ('it is', 3162), ('multiple', 3161), ('understanding', 3158), ('vitro', 3152), ('large', 3142), ('tested', 3138), ('in vitro', 3137), ('emerging', 3135), ('surveillance', 3130), ('recombinant', 3129), ('pneumonia', 3128), ('used to', 3122), ('influenza virus', 3115), ('pedv', 3098), ('fusion', 3083), ('similar', 3082), ('is the', 3070), ('models', 3061), ('diagnosis', 3054), ('rt', 3050), ('thus', 3042), ('blood', 3015), ('genetic', 2997), ('should', 2996), ('region', 2995), ('groups', 2990), ('case', 2980), ('in addition', 2977), ('about', 2972), ('due', 2968), ('pandemic', 2964), ('lower', 2946), ('may be', 2943), ('bacterial', 2943), ('hospital', 2942), ('identify', 2932), ('entry', 2918), ('the virus', 2917), ('due to', 2908), ('who', 2902), ('rsv', 2897), ('total', 2891), ('caused', 2891), ('use of', 2890), ('expression of', 2882), ('presence', 2882), ('serum', 2881), ('the development', 2854), ('activation', 2847), ('various', 2845), ('dependent', 2842), ('current', 2840), ('agents', 2839), ('assays', 2837), ('four', 2835), ('small', 2835), ('complex', 2830), ('changes', 2819), ('antigen', 2816), ('domain', 2805), ('and in', 2797), ('inflammatory', 2788), ('tract', 2780), ('severe acute', 2775), ('vaccination', 2758), ('conclusion', 2743), ('reduced', 2739), ('role in', 2739), ('amino', 2705), ('global', 2701), ('12', 2701), ('patient', 2696), ('showed that', 2694), ('analysis of', 2689), ('spread', 2688), ('systems', 2674), ('outbreaks', 2669), ('collected', 2668), ('ibv', 2667), ('strategies', 2663), ('up', 2659), ('approach', 2658), ('suggest that', 2652), ('rapid', 2644), ('mhv', 2637), ('ci', 2633), ('china', 2632), ('diagnostic', 2621), ('mouse', 2618), ('involved', 2618), ('did', 2613), ('structural', 2610), ('factor', 2610), ('therapeutic', 2605), ('test', 2601), ('symptoms', 2599), ('presence of', 2597), ('previously', 2588), ('pathogenesis', 2586), ('how', 2584), ('negative', 2571), ('detected in', 2571), ('confirmed', 2566), ('interactions', 2564), ('mechanism', 2563), ('role of', 2557), ('site', 2548), ('coronaviruses', 2544), ('calves', 2536), ('shown', 2530), ('compared to', 2529), ('performed', 2525), ('surface', 2521), ('culture', 2521), ('porcine', 2517), ('primary', 2509), ('50', 2494), ('real', 2489), ('the presence', 2479), ('infectious diseases', 2478), ('laboratory', 2477), ('immunity', 2475), ('report', 2475), ('critical', 2475), ('increase', 2471), ('drug', 2465), ('range', 2455), ('expressed', 2451), ('without', 2450), ('process', 2440), ('required', 2434), ('which is', 2427), ('vivo', 2403), ('detection of', 2402), ('the viral', 2399), ('respiratory tract', 2399), ('hepatitis', 2389), ('therefore', 2387), ('100', 2377), ('knowledge', 2372), ('countries', 2370), ('infection in', 2369), ('diarrhea', 2369), ('la', 2369), ('transcription', 2354), ('this review', 2344), ('innate', 2343), ('impact', 2343), ('signaling', 2342), ('h1n1', 2339), ('following', 2319), ('show that', 2314), ('15', 2311), ('illness', 2311), ('cross', 2308), ('interferon', 2308), ('evaluated', 2282), ('did not', 2282), ('levels of', 2281), ('ii', 2270), ('family', 2265), ('into the', 2263), ('co', 2257), ('polymerase', 2256), ('could be', 2250), ('isolated', 2250), ('since', 2248), ('furthermore', 2245), ('importance', 2245), ('demonstrate', 2240), ('investigated', 2235), ('day', 2228), ('possible', 2228), ('key', 2216), ('likely', 2207), ('the results', 2205), ('derived', 2204), ('between the', 2202), ('interaction', 2197), ('future', 2195), ('under', 2193), ('is an', 2188), ('reaction', 2185), ('rt pcr', 2183), ('ability', 2180), ('cells and', 2179), ('either', 2178), ('involved in', 2178), ('20', 2172), ('real time', 2169), ('in vivo', 2168), ('95 ci', 2167), ('obtained', 2164), ('of sars', 2157), ('recently', 2156), ('medical', 2154), ('need', 2150), ('essential', 2145), ('determine', 2135), ('tissue', 2134), ('less', 2133), ('fever', 2133), ('chronic', 2128), ('regions', 2124), ('pigs', 2124), ('design', 2117), ('determined', 2116), ('protection', 2115), ('inhibition', 2115), ('because', 2112), ('therapy', 2112), ('to identify', 2107), ('11', 2105), ('being', 2099), ('these results', 2098)]\n","Cluster 2\n","[('of', 14), ('and', 12), ('the', 12), ('in', 11), ('for', 5), ('to', 4), ('with', 4), ('biological', 4), ('agents', 4), ('use', 4), ('this', 3), ('infectious', 3), ('biological agents', 3), ('in the', 3), ('detection', 3), ('is', 3), ('of the', 3), ('very', 2), ('some', 2), ('my', 2), ('on', 2), ('their', 2), ('concepts', 2), ('all', 2), ('these', 2), ('bioterrorism', 2), ('human', 2), ('time', 2), ('some of', 2), ('of my', 2), ('and their', 2), ('use of', 2), ('technologies', 2), ('biosensor', 2), ('warfare', 2), ('presented', 2), ('immunological', 2), ('involving', 2), ('against', 2), ('availability', 2), ('against infectious', 2), ('availability of', 2), ('stimulating', 1), ('course', 1), ('want', 1), ('share', 1), ('you', 1), ('studies', 1), ('even', 1), ('scientific', 1), ('phylosophical', 1), ('considerations', 1), ('living', 1), ('environment', 1), ('relations', 1), ('humans', 1), ('wide', 1), ('ecological', 1), ('relationships', 1), ('parasitism', 1), ('immunolgical', 1), ('defenses', 1), ('disease', 1), ('mechanisms', 1), ('must', 1), ('be', 1), ('studied', 1), ('considered', 1), ('event', 1), ('criminal', 1), ('aimed', 1), ('at', 1), ('harming', 1), ('populations', 1), ('geographical', 1), ('space', 1), ('for this', 1), ('this very', 1), ('very stimulating', 1), ('stimulating course', 1), ('course want', 1), ('want to', 1), ('to share', 1), ('share with', 1), ('with you', 1), ('you some', 1), ('my studies', 1), ('studies and', 1), ('and even', 1), ('even some', 1), ('my scientific', 1), ('scientific and', 1), ('and phylosophical', 1), ('phylosophical considerations', 1), ('considerations on', 1), ('on biological', 1), ('agents living', 1), ('living in', 1), ('the environment', 1), ('environment and', 1), ('their relations', 1), ('relations with', 1), ('with humans', 1), ('humans in', 1), ('the very', 1), ('very wide', 1), ('wide concepts', 1), ('concepts of', 1), ('of ecological', 1), ('ecological relationships', 1), ('relationships parasitism', 1), ('parasitism immunolgical', 1), ('immunolgical defenses', 1), ('defenses and', 1), ('and infectious', 1), ('infectious disease', 1), ('disease mechanisms', 1), ('mechanisms all', 1), ('all these', 1), ('these concepts', 1), ('concepts must', 1), ('must be', 1), ('be studied', 1), ('studied and', 1), ('and considered', 1), ('considered in', 1), ('the event', 1), ('event of', 1), ('of criminal', 1), ('criminal use', 1), ('of biological', 1), ('agents bioterrorism', 1), ('bioterrorism aimed', 1), ('aimed at', 1), ('at harming', 1), ('harming human', 1), ('human populations', 1), ('populations in', 1), ('in time', 1), ('time and', 1), ('and in', 1), ('in geographical', 1), ('geographical space', 1), ('chapter', 1), ('surveys', 1), ('current', 1), ('used', 1), ('commercially', 1), ('available', 1), ('luminescence', 1), ('equipments', 1), ('currently', 1), ('employed', 1), ('identifying', 1), ('bas', 1), ('brief', 1), ('technical', 1), ('descriptions', 1), ('are', 1), ('emphasis', 1), ('placed', 1), ('principles', 1), ('much', 1), ('content', 1), ('was', 1), ('obtained', 1), ('from', 1), ('open', 1), ('source', 1), ('literature', 1), ('an', 1), ('introduction', 1), ('fundamentals', 1), ('this chapter', 1), ('chapter surveys', 1), ('surveys the', 1), ('the current', 1), ('current detection', 1), ('detection technologies', 1), ('technologies used', 1), ('used in', 1), ('in commercially', 1), ('commercially available', 1), ('available luminescence', 1), ('luminescence biosensor', 1), ('biosensor detection', 1), ('detection equipments', 1), ('equipments currently', 1), ('currently employed', 1), ('employed for', 1), ('for identifying', 1), ('identifying warfare', 1), ('warfare biological', 1), ('agents bas', 1), ('bas brief', 1), ('brief technical', 1), ('technical descriptions', 1), ('descriptions of', 1), ('of these', 1), ('these technologies', 1), ('technologies are', 1), ('are presented', 1), ('presented with', 1), ('with emphasis', 1), ('emphasis placed', 1), ('placed on', 1), ('on the', 1), ('the 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('humans', 6), ('was', 6), ('may', 6), ('has', 6), ('cell', 6), ('their', 6), ('in humans', 6), ('studies', 6), ('were', 6), ('clinical', 5), ('patients', 5), ('growth', 5), ('now', 5), ('as', 5), ('in patients', 5), ('zinc is', 5), ('ppis', 5), ('shown', 5), ('supplementation', 5), ('zinc supplementation', 5), ('been', 4), ('intake', 4), ('world', 4), ('mediated', 4), ('immune', 4), ('age', 4), ('cells', 4), ('these', 4), ('decreasing', 4), ('also', 4), ('inflammatory', 4), ('patients with', 4), ('cell mediated', 4), ('the elderly', 4), ('plasma', 4), ('animals', 4), ('by', 4), ('treatment', 4), ('elderly subjects', 4), ('1963', 3), ('major', 3), ('developing', 3), ('nearly', 3), ('be', 3), ('deficient', 3), ('infections', 3), ('we', 3), ('only', 3), ('enzymes', 3), ('known', 3), ('very', 3), ('used', 3), ('acute', 3), ('blindness', 3), ('related', 3), ('effective', 3), ('incidence', 3), ('immunity', 3), ('an', 3), ('zinc in', 3), ('in 1963', 3), ('zinc deficient', 3), ('deficiency 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2), ('events', 2), ('therapeutic', 2), ('diarrhea', 2), ('children', 2), ('wilson', 2), ('common', 2), ('cold', 2), ('macular', 2), ('degeneration', 2), ('humans was', 2), ('was established', 2), ('have been', 2), ('been observed', 2), ('the major', 2), ('to zinc', 2), ('intake in', 2), ('the developing', 2), ('developing world', 2), ('may be', 2), ('be zinc', 2), ('zinc has', 2), ('has been', 2), ('sickle cell', 2), ('cell disease', 2), ('growth retardation', 2), ('the age', 2), ('their activities', 2), ('300 enzymes', 2), ('enzymes and', 2), ('transcription factors', 2), ('are known', 2), ('to require', 2), ('require zinc', 2), ('immune cells', 2), ('used as', 2), ('of acute', 2), ('acute diarrhea', 2), ('diarrhea in', 2), ('wilson disease', 2), ('the common', 2), ('common cold', 2), ('of blindness', 2), ('blindness in', 2), ('macular degeneration', 2), ('reported', 2), ('improvements', 2), ('food', 2), ('fed', 2), ('gut', 2), ('barrier', 2), ('enteric', 2), ('suggest', 2), ('therapy', 2), ('homeostasis', 2), ('experiencing', 2), ('or', 2), ('bowel', 2), ('meta', 2), ('evaluated', 2), ('gain', 2), ('through', 2), ('including', 2), ('analyses', 2), ('primary', 2), ('endpoint', 2), ('average', 2), ('daily', 2), ('secondary', 2), ('feed', 2), ('adfi', 2), ('ratio', 2), ('dietary', 2), ('symptoms', 2), ('ppis to', 2), ('improvements in', 2), ('food intake', 2), ('animals fed', 2), ('gut barrier', 2), ('barrier function', 2), ('studies suggest', 2), ('suggest that', 2), ('meta analysis', 2), ('of ppis', 2), ('average daily', 2), ('growth adg', 2), ('and secondary', 2), ('adfi and', 2), ('who', 2), ('living', 2), ('functions', 2), ('oxidative', 2), ('stress', 2), ('our', 2), ('countries', 2), ('10', 2), ('human', 2), ('being', 2), ('decrease', 2), ('eye', 2), ('showed', 2), ('markers', 2), ('gene', 2), ('expression', 2), ('however', 2), ('specific', 2), ('assays', 2), ('immunological', 2), ('lymphocytes', 2), ('than', 2), ('zinc was', 2), ('that nearly', 2), 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successfully', 1), ('modality for', 1), ('prevention of', 1), ('with age', 1), ('of macular', 1), ('very effective', 1), ('of infection', 1), ('zinc not', 1), ('not only', 1), ('only modulates', 1), ('modulates cell', 1), ('overall', 1), ('when', 1), ('part', 1), ('normalization', 1), ('nutritional', 1), ('mild', 1), ('more', 1), ('weight', 1), ('weanling', 1), ('primarily', 1), ('piglets', 1), ('oral', 1), ('various', 1), ('pathogens', 1), ('medline', 1), ('nine', 1), ('methods', 1), ('values', 1), ('week', 1), ('weeks', 1), ('necrosis', 1), ('will', 1), ('populations', 1), ('plasma protein', 1), ('overall condition', 1), ('when compared', 1), ('with animals', 1), ('part to', 1), ('normalization of', 1), ('of cytokine', 1), ('of enteric', 1), ('nutritional therapy', 1), ('with ppis', 1), ('ppis may', 1), ('mild or', 1), ('or more', 1), ('more acute', 1), ('weight gain', 1), ('weanling animals', 1), ('primarily piglets', 1), ('piglets after', 1), ('oral challenge', 1), ('with various', 1), ('various enteric', 1), ('pathogens or', 1), ('or bacterial', 1), ('medline embase', 1), ('were searched', 1), ('nine articles', 1), ('were evaluated', 1), ('were selected', 1), ('the meta', 1), ('methods for', 1), ('values for', 1), ('week and', 1), ('weeks and', 1), ('of study', 1), ('primary and', 1), ('of growth', 1), ('were significant', 1), ('necrosis factor', 1), ('were significantly', 1), ('ppis additional', 1), ('patients experiencing', 1), ('of enteropathy', 1), ('will further', 1), ('ppis in', 1), ('present', 1), ('organization', 1), ('organic', 1), ('phosphate', 1), ('well', 1), ('molar', 1), ('over', 1), ('molecular', 1), ('neuronal', 1), ('zip', 1), ('millions', 1), ('pain', 1), ('within', 1), ('onset', 1), ('preparation', 1), ('nih', 1), ('year', 1), ('most', 1), ('no', 1), ('micronutrient', 1), ('mortality', 1), ('placebo', 1), ('preventive', 1), ('widely', 1), ('neither', 1), ('nor', 1), ('pha', 1), ('was recognized', 1), ('us national', 1), ('national academy', 1), ('of sciences', 1), ('present world', 1), ('world health', 1), ('organization who', 1), ('who estimate', 1), ('nearly 2billion', 1), ('world may', 1), ('on cereal', 1), ('which contain', 1), ('of organic', 1), ('organic phosphate', 1), ('phosphate compounds', 1), ('which combine', 1), ('with zinc', 1), ('zinc making', 1), ('unavailable for', 1), ('of cognitive', 1), ('our studies', 1), ('nearly 30', 1), ('of healthy', 1), ('well to', 1), ('phytate to', 1), ('zinc molar', 1), ('molar ratio', 1), ('over 300', 1), ('now known', 1), ('now shown', 1), ('zinc may', 1), ('molecular signal', 1), ('neuronal and', 1), ('zip and', 1), ('zinc transporters', 1), ('zinc homeostasis', 1), ('zinc on', 1), ('on human', 1), ('used for', 1), ('millions of', 1), ('of lives', 1), ('now an', 1), ('of wilson', 1), ('only treatment', 1), ('which is', 1), ('pain crises', 1), ('with sickle', 1), ('zinc acetate', 1), ('within 24h', 1), ('onset of', 1), ('of symptoms', 1), ('zinc preparation', 1), ('preparation is', 1), ('zinc dosages', 1), ('of legal', 1), ('world the', 1), ('was supported', 1), ('national eye', 1), ('national institutes', 1), ('of health', 1), ('nih has', 1), ('now reported', 1), ('year zinc', 1), ('with amd', 1), ('was effective', 1), ('of amd', 1), ('most importantly', 1), ('zinc supplemented', 1), ('was due', 1), ('no other', 1), ('other micronutrient', 1), ('micronutrient has', 1), ('on decreasing', 1), ('mortality in', 1), ('our placebo', 1), ('placebo controlled', 1), ('we showed', 1), ('were decreased', 1), ('who received', 1), ('preventive role', 1), ('widely used', 1), ('neither specific', 1), ('nor sensitive', 1), ('of immunological', 1), ('plasma active', 1), ('of il', 1), ('pha stimulated', 1), ('very sensitive', 1), ('of human', 1), ('zinc however', 1)]\n","Cluster 23\n","[('the', 9), ('of', 6), ('and', 6), ('in', 4), ('for', 4), ('virus', 4), ('viruses', 3), ('shellfish', 3), ('to', 3), ('detection', 2), ('hepatitis', 2), ('as', 2), ('main', 2), ('borne', 2), ('viral', 2), ('are', 2), ('bivalve', 2), ('analysis', 2), ('molluscan', 2), ('and hepatitis', 2), ('as the', 2), ('the main', 2), ('shellfish borne', 2), ('of virus', 2), ('in molluscan', 2), ('nan', 1), ('abstract', 1), ('environmental', 1), ('virology', 1), ('started', 1), ('with', 1), ('poliovirus', 1), ('water', 1), ('since', 1), ('then', 1), ('other', 1), ('enteric', 1), ('responsible', 1), ('gastroenteritis', 1), ('have', 1), ('replaced', 1), ('enteroviruses', 1), ('target', 1), ('most', 1), ('outbreaks', 1), ('restricted', 1), ('norovirus', 1), ('making', 1), ('them', 1), ('targets', 1), ('virological', 1), ('inclusion', 1), ('regulatory', 1), ('standards', 1), ('samples', 1), ('must', 1), ('overcome', 1), ('several', 1), ('shortcomings', 1), ('such', 1), ('technical', 1), ('difficulties', 1), ('high', 1), ('costs', 1), ('monitoring', 1), ('lack', 1), ('harmonised', 1), ('standardised', 1), ('assays', 1), ('challenge', 1), ('posed', 1), ('by', 1), ('ever', 1), ('changing', 1), ('nature', 1), ('nowadays', 1), ('methods', 1), ('available', 1), ('detect', 1), ('quantify', 1), ('characterise', 1), ('pathogens', 1), ('reduce', 1), ('risks', 1), ('diseases', 1), ('abstract environmental', 1), ('environmental virology', 1), ('virology started', 1), ('started with', 1), ('with the', 1), ('the detection', 1), ('detection of', 1), ('of poliovirus', 1), ('poliovirus in', 1), ('in water', 1), ('water since', 1), ('since then', 1), ('then other', 1), ('other enteric', 1), ('enteric viruses', 1), ('viruses responsible', 1), ('responsible for', 1), ('for gastroenteritis', 1), ('gastroenteritis and', 1), ('hepatitis have', 1), ('have replaced', 1), ('replaced enteroviruses', 1), ('enteroviruses as', 1), ('main target', 1), ('target for', 1), ('for detection', 1), ('detection most', 1), ('most shellfish', 1), ('borne viral', 1), ('viral outbreaks', 1), ('outbreaks are', 1), ('are restricted', 1), ('restricted to', 1), ('to norovirus', 1), ('norovirus and', 1), ('hepatitis virus', 1), ('virus making', 1), ('making them', 1), ('them the', 1), ('main targets', 1), ('targets for', 1), ('for bivalve', 1), ('bivalve virological', 1), ('virological analysis', 1), ('analysis the', 1), ('the inclusion', 1), ('inclusion of', 1), ('virus analysis', 1), ('analysis in', 1), ('in regulatory', 1), ('regulatory standards', 1), ('standards for', 1), ('for viruses', 1), ('viruses in', 1), ('molluscan bivalve', 1), ('bivalve samples', 1), ('samples must', 1), ('must overcome', 1), ('overcome several', 1), ('several shortcomings', 1), ('shortcomings such', 1), ('such as', 1), ('the technical', 1), ('technical difficulties', 1), ('difficulties and', 1), ('and high', 1), ('high costs', 1), ('costs of', 1), ('virus monitoring', 1), ('monitoring the', 1), ('the lack', 1), ('lack of', 1), ('of harmonised', 1), ('harmonised and', 1), ('and standardised', 1), ('standardised assays', 1), ('assays and', 1), ('and the', 1), ('the challenge', 1), ('challenge posed', 1), ('posed by', 1), ('by the', 1), ('the ever', 1), ('ever changing', 1), ('changing nature', 1), ('nature of', 1), ('of viruses', 1), ('viruses nowadays', 1), ('nowadays methods', 1), ('methods are', 1), ('are available', 1), ('available to', 1), ('to detect', 1), ('detect quantify', 1), ('quantify and', 1), ('and characterise', 1), ('characterise viral', 1), ('viral pathogens', 1), ('pathogens in', 1), ('molluscan shellfish', 1), ('shellfish to', 1), ('to reduce', 1), ('reduce the', 1), ('the risks', 1), ('risks of', 1), ('of shellfish', 1), ('borne virus', 1), ('virus diseases', 1)]\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"te-aCZU588ZN","colab_type":"code","colab":{}},"source":["\"\"\"DBSCAN\"\"\"\n","#Algorithm: https://medium.com/@shritamkumarmund.98/how-dbscan-algorithm-works-2b5bef80fb3\n","from sklearn.cluster import DBSCAN\n","from sklearn import metrics"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"M0msFMSgGx6p","colab_type":"code","colab":{}},"source":["\"\"\"Compute matrix without weight\"\"\"\n","df_raw_2 = df_raw.apply(lambda x: [y if y <= 1 else 1 for y in x])\n","mat = df_raw_2.values\n","\n","\"\"\"Euclidean algorithm\"\"\"\n","dist = scipy.spatial.distance.pdist(mat, metric=\"euclidean\")\n","#dist [dist == np.inf] = 0\n","dist = scipy.spatial.distance.squareform(dist)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"RFavJ54ssA34","colab_type":"code","outputId":"2c23756f-0c91-4e8c-c2f3-083db1989280","executionInfo":{"status":"ok","timestamp":1588303527629,"user_tz":300,"elapsed":742,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":238}},"source":["dist"],"execution_count":99,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[0.        , 1.41421356, 2.        , ..., 1.73205081, 1.73205081,\n","        1.41421356],\n","       [1.41421356, 0.        , 2.        , ..., 1.73205081, 1.73205081,\n","        1.41421356],\n","       [2.        , 2.        , 0.        , ..., 2.23606798, 2.23606798,\n","        2.        ],\n","       ...,\n","       [1.73205081, 1.73205081, 2.23606798, ..., 0.        , 1.41421356,\n","        1.73205081],\n","       [1.73205081, 1.73205081, 2.23606798, ..., 1.41421356, 0.        ,\n","        1.73205081],\n","       [1.41421356, 1.41421356, 2.        , ..., 1.73205081, 1.73205081,\n","        0.        ]])"]},"metadata":{"tags":[]},"execution_count":99}]},{"cell_type":"code","metadata":{"id":"3-hbi4huk6t_","colab_type":"code","colab":{}},"source":["\"\"\"\n","Not using weighted version here\n","Calculate shortest path with weight\n","reciprocal weight\n","mat = df_raw.values\n","mat = 1.0/mat\n","mat[mat == np.inf] = 0\n","\n","Euclidean's algorithm\n","dist_w = csgraph.dijkstra(mat, directed = False)\n","dist_w [dist_w == np.inf] = 0\n","dist_w\n","\"\"\""],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"qc2icot2PV-9","colab_type":"code","colab":{}},"source":["\"\"\" # https://www.aaai.org/Papers/KDD/1996/KDD96-037.pdf\n","Use k-nearest neighbor distances to find optimal epsilon. k should be minpts - 1 range(2, 8)\n","1. Get the sorted distance matrix\n","2. Get the kth column (kth column represents the distances with kth neighbor)\n","3. Sort the kth column in descending order\n","4. Plot it in y-axis and (0-n) in x-axis\n","\"\"\"\n","x = dist.copy()\n","x.sort() #sort distance matrix"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"iX1GY81SkTtc","colab_type":"code","outputId":"b6639ae6-b6e9-4301-9ae2-80c2e64d8057","executionInfo":{"status":"ok","timestamp":1588303538175,"user_tz":300,"elapsed":1029,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["\"\"\"Draw elbow\"\"\"\n","for i in [4, 5, 9]: #D+1, D*2, ln(n)\n","  if np.count_nonzero(x[:,i]) != 0:\n","    print(i)\n","    x[:, i] #x+1th column of array is distances with xth neighbor\n","    y = x[:, i]\n","    y.sort()\n","    plt.figure(figsize = (10, 10))\n","    plt.plot(y)"],"execution_count":101,"outputs":[{"output_type":"stream","text":["4\n","5\n","9\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x720 with 1 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\n","text/plain":["<Figure size 720x720 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x720 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"WnwdIEzFfB1P","colab_type":"code","colab":{}},"source":["#As shown above, a clear bend is shown when minpts is 3, 4 epsilon is 5 or 5.5."],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"JCx_QW4h9PkN","colab_type":"code","outputId":"75599a12-dccf-4c83-dbe0-1b18a3749e68","executionInfo":{"status":"ok","timestamp":1588304008420,"user_tz":300,"elapsed":39290,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":221}},"source":["#Fit cluster with various eps, min_samples to find best combo\n","\n","score_lists = [] #x = eps, y = ss\n","for samples in [3, 4]:\n","  sample_score = []\n","  for eps in [2, 3.5]: \n","    clustering = DBSCAN(eps=eps, min_samples=samples, metric=\"precomputed\").fit(dist)\n","\n","    #prepare index list\n","    index_list = df_raw.index.tolist()\n","\n","    #Storing the labels formed by the DBSCAN\n","    labels = clustering.labels_\n","\n","    # measure the performance of dbscan algo\n","    #Identifying which points make up our “core points”\n","    core_samples = np.zeros_like(labels, dtype=bool)\n","    core_samples[clustering.core_sample_indices_] = True\n","    #print(core_samples)\n","\n","    # print eps and samples combo\n","    print(f\"EPS: {eps}, Minsamples: {samples}\")\n","    #Calculating \"the number of clusters\"\n","    n_clusters_ = len(set(labels)) - (1 if -1 in labels else 0) #-1 is a noisy sample\n","    print(f\"Number of Clusters: {n_clusters_}\")\n","\n","    if n_clusters_ != 1:\n","      #Computing \"the Silhouette Score\"\n","      score = metrics.silhouette_score(dist, labels)\n","      sample_score.append(score)\n","      print(\"Silhouette Coefficient: %0.3f\"\n","            % score)\n","    elif n_clusters_ == 1:\n","      pass\n","  score_lists.append(sample_score)"],"execution_count":108,"outputs":[{"output_type":"stream","text":["EPS: 2, Minsamples: 3\n","Number of Clusters: 39\n","Silhouette Coefficient: 0.431\n","EPS: 3.5, Minsamples: 3\n","Number of Clusters: 10\n","Silhouette Coefficient: 0.760\n","EPS: 2, Minsamples: 4\n","Number of Clusters: 37\n","Silhouette Coefficient: 0.431\n","EPS: 3.5, Minsamples: 4\n","Number of Clusters: 10\n","Silhouette Coefficient: 0.760\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"4TggKqu0yse0","colab_type":"code","outputId":"237bc4c9-4f67-4d54-acea-5dc7d430da4f","executionInfo":{"status":"error","timestamp":1588524166478,"user_tz":300,"elapsed":551,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":232}},"source":["#Fit cluster with various eps, min_samples to find best combo\n","\n","score_lists = [] #x = eps, y = ss\n","for samples in [4]:\n","  sample_score = []\n","  for eps in [2,3.5]: \n","    clustering = DBSCAN(eps=eps, min_samples=samples, metric=\"precomputed\").fit(dist)\n","\n","    #prepare index list\n","    index_list = df_raw.index.tolist()\n","\n","    #Storing the labels formed by the DBSCAN\n","    labels = clustering.labels_\n","\n","    # measure the performance of dbscan algo\n","    #Identifying which points make up our “core points”\n","    core_samples = np.zeros_like(labels, dtype=bool)\n","    core_samples[clustering.core_sample_indices_] = True\n","    #print(core_samples)\n","\n","    # print eps and samples combo\n","    print(f\"EPS: {eps}, Minsamples: {samples}\")\n","    #Calculating \"the number of clusters\" & \"noise\"\n","    n_clusters_ = len(set(labels)) - (1 if -1 in labels else 0) #-1 is a noisy sample\n","    print(f\"Number of Clusters: {n_clusters_}\")\n","    n_noise_ = list(labels).count(-1)\n","    print(\"Number of Noises:\", n_noise_)\n","\n","    if n_clusters_ != 1:\n","      #Computing \"the Silhouette Score\"\n","      score = metrics.silhouette_score(dist, labels)\n","      sample_score.append(score)\n","      print(\"Silhouette Coefficient: %0.3f\"\n","            % score)\n","    elif n_clusters_ == 1:\n","      pass\n","  score_lists.append(sample_score)"],"execution_count":23,"outputs":[{"output_type":"error","ename":"NameError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-23-d04ab1960a72>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m   \u001b[0msample_score\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m   \u001b[0;32mfor\u001b[0m \u001b[0meps\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3.5\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m     \u001b[0mclustering\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDBSCAN\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0meps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0meps\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmin_samples\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msamples\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetric\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"precomputed\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdist\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0;31m#prepare index list\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'DBSCAN' is not defined"]}]},{"cell_type":"code","metadata":{"id":"Ks3riRou9rf0","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":181},"outputId":"60d8f488-88dc-4a87-8435-b64cc495480c","executionInfo":{"status":"error","timestamp":1588524161424,"user_tz":300,"elapsed":470,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}}},"source":["df_dbs = pd.DataFrame([index_list, labels, core_samples]).T\n","df_dbs.columns = [\"author\", \"cluster\", \"core_sample\"]"],"execution_count":22,"outputs":[{"output_type":"error","ename":"NameError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-22-d2e339773e42>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf_dbs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mindex_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcore_samples\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mT\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mdf_dbs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"author\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"cluster\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"core_sample\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'index_list' is not defined"]}]},{"cell_type":"code","metadata":{"id":"Zn2rI9e9Bn3B","colab_type":"code","outputId":"c81e80ad-b4c5-47fc-af2d-4db67882bcca","executionInfo":{"status":"ok","timestamp":1588304386003,"user_tz":300,"elapsed":1260,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":419}},"source":["df_dbs[df_dbs[\"cluster\"] == 1]"],"execution_count":112,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>author</th>\n","      <th>cluster</th>\n","      <th>core_sample</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>4</th>\n","      <td>escoval a</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>groves c</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>zogheib e</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>blaffart f</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>citton g</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>7938</th>\n","      <td>diakaki c</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>7939</th>\n","      <td>coskun r</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>7943</th>\n","      <td>vazin a</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>7945</th>\n","      <td>hung c y</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>7948</th>\n","      <td>rageb d</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>179 rows × 3 columns</p>\n","</div>"],"text/plain":["           author cluster core_sample\n","4      escoval a        1        True\n","6       groves c        1        True\n","11     zogheib e        1        True\n","12    blaffart f        1        True\n","13      citton g        1        True\n","...           ...     ...         ...\n","7938   diakaki c        1        True\n","7939    coskun r        1        True\n","7943     vazin a        1        True\n","7945    hung c y        1        True\n","7948     rageb d        1        True\n","\n","[179 rows x 3 columns]"]},"metadata":{"tags":[]},"execution_count":112}]},{"cell_type":"code","metadata":{"id":"ay5qShlhYNPM","colab_type":"code","outputId":"d942cc9d-12b4-483e-a21a-18a405396a3d","executionInfo":{"status":"ok","timestamp":1588304401638,"user_tz":300,"elapsed":740,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":54}},"source":["from google.colab import  drive\n","drive.mount('/drive')\n","df_dbs.to_csv(\"/drive/My Drive/clusters_DBSCAN.csv\")"],"execution_count":113,"outputs":[{"output_type":"stream","text":["Drive already mounted at /drive; to attempt to forcibly remount, call drive.mount(\"/drive\", force_remount=True).\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"G2QO71izUUON","colab_type":"code","outputId":"a39e8575-4683-4ac0-ecb9-d19fc07d34c9","executionInfo":{"status":"ok","timestamp":1588304450746,"user_tz":300,"elapsed":701,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":238}},"source":["df_dbs.groupby(\"cluster\")[\"cluster\"].value_counts()"],"execution_count":114,"outputs":[{"output_type":"execute_result","data":{"text/plain":["cluster  cluster\n","-1       -1           28\n"," 0        0         7008\n"," 1        1          179\n"," 2        2          184\n"," 3        3          189\n"," 4        4           15\n"," 5        5          253\n"," 6        6           48\n"," 7        7           25\n"," 8        8           13\n"," 9        9           14\n","Name: cluster, dtype: int64"]},"metadata":{"tags":[]},"execution_count":114}]},{"cell_type":"code","metadata":{"id":"y6O4xG0ATktN","colab_type":"code","outputId":"a9aa9a20-3c2d-4431-a8e7-21203c9ff637","executionInfo":{"status":"ok","timestamp":1588304637032,"user_tz":300,"elapsed":162818,"user":{"displayName":"Sofia L Hurtado","photoUrl":"","userId":"06346184975704990632"}},"colab":{"base_uri":"https://localhost:8080/","height":683}},"source":["G = nx.from_numpy_matrix(mat)\n","\n","plt.figure(figsize = (12, 12))\n","plt.axis('off')\n","pos = nx.spring_layout(G)\n","#ec = nx.draw_networkx_edges(G, pos, alpha=0.2)\n","nc = nx.draw_networkx_nodes(G, pos, nodelist = G.nodes(), node_size = 80, alpha=0.5, node_color = labels)\n","\n","plt.show()"],"execution_count":115,"outputs":[{"output_type":"display_data","data":{"image/png":"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