Skip to content

Instantly share code, notes, and snippets.

/lasvegas.pynb Secret

Created December 8, 2017 16:09
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 3 You must be signed in to fork a gist
  • Save anonymous/64b9e6ec6ca9b66e0b46df16a2397329 to your computer and use it in GitHub Desktop.
Save anonymous/64b9e6ec6ca9b66e0b46df16a2397329 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
lasvegas.pynb
This file has been truncated, but you can view the full file.
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# THE FAKE NEWS DETECTOR - LAS VEGAS"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Table of Contents:\n",
"\n",
"- [Introduction](#intro)\n",
"- [Data](#data)\n",
"- [Part 1: Getting Started](#gettingStarted)\n",
" - [1.1 Basic Statistics](#basicStatistics1)\n",
" - [1.2 The most popular tweets](#popularTweets)\n",
" - [1.3 Most Popular Sources of Information](#websites)\n",
" - [1.4 Chronological Visualization of the Data](#visualizeByTime) \n",
"- [Part 2 : NETWORK ANALYSIS](#networkAnalysis)\n",
" - [2.1 Mention Graph](#mentionGraph)\n",
" - [2.2 Hashtag Graph](#hashGraph)\n",
" - [2.3 Sources of Information Graph](#infoGraph)\n",
"- [Part 3 : SENTIMENT ANALYSIS](#sentimentAnalysis)\n",
" - [3.1 Sentiment Over Time](#sentimentTime)\n",
" - [3.2 WordCloud](#wordcloud)\n",
" - [3.3 Emoji Analysis](#emoji)\n",
" \n",
"- [Conclusion](#conclusion)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"intro\"></a>\n",
"\n",
"# Introduction\n",
"\n",
" In this project we have taken a systematic approach to analyze the Las Vegas Shooting. This sad event occured on the night of October 1, 2017. A gunman opened fire on a crowd of concertgoers on the Las Vegas Strip in Nevada, leaving 58 people dead and 546 injured. To analyze this event, we have collected publicly available twitter data under the hashtag '#LasVegasShooting'. This hashtag was specifically chosen as it is biggest hashtag on the topic and it is rather neutral(i.e.people from all different views could easily use). Hashtags such as #PrayForVegas were not collected for this exact reason.\n",
"\n",
" The focus here was to analyze “alternative narratives” of crisis events. In this type of big events, alternative media might be used to spread rumors. Some conspiracy theories claiming either the event didn’t happen or that it was perpetrated by someone other than the current suspects are spread using this media. By analyzing the publicly available Twitter data, here we attempted to get some insights about the event and the ways media was used to spread information about it. \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"data\"></a>\n",
"# Data Collection\n",
"\n",
"This part showw the data collection and its format. Here, the actual data collection code was not included. However given the similar data for other events it is possible to rerun the analysis quite easily. This was why we could easily rerun a similar analysis for another event such as the Sutherland 'Springs Church Shooting, Texas, U.S.A, November 5, 2017' easily. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The official Twitter API sets some limitation in terms of time constraints, for example, it is impossible to get tweets older than a week. Thus, for data collection we have used 'Jefferson-Henrique/GetOldTweets-python' library found in a Github repository. This project was written in Python to get old tweets, it bypassess some limitations of the Offical Twitter API. \n",
"\n",
"With this tool we have collected all the publicly available tweets under the '#LasVegasShooting' hashtag between the dates 30/09/2017 - 30/11/2017. Remember that the event occured at the night of the 1/10/2017. Thus the very first tweet we have is from next day."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# those hashtags will be analyzed\n",
"query_hashtags = ['#lasvegasshooting']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Each tweet is stored with some fields of interest. Let's now see the format of our data. First, let's import necessary libraries and reach the database."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
}
],
"source": [
"#IMPORT SOME LIBRARIES NECESSARY FOR THE REST OF THE PROJECT\n",
"from pymongo import MongoClient\n",
"import pickle, sys\n",
"import pymongo\n",
"import numpy as np\n",
"import pandas as pd\n",
"from IPython.display import display, HTML\n",
"pd.set_option('display.max_colwidth', -1)\n",
"import matplotlib.pyplot as plt\n",
"from collections import Counter\n",
"%matplotlib inline\n",
"%pylab inline\n",
"pylab.rcParams['figure.figsize'] = (15, 6)\n",
"\n",
"# intialize mongo client on MongoDB Atlas\n",
"client = MongoClient(\"mongodb://socialgraphs:interactions@socialgraphs-shard-00-00-al7cj.mongodb.net:27017,socialgraphs-shard-00-01-al7cj.mongodb.net:27017,socialgraphs-shard-00-02-al7cj.mongodb.net:27017/test?ssl=true&replicaSet=SocialGraphs-shard-0&authSource=admin\")\n",
"db = client.lasvegas\n",
"\n",
"# access tweet collection\n",
"tweet_collection = db.tweetHistory"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Below you can see an example tweet as it is stored in our database. "
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"allTweets = list(tweet_collection.find())# A list containing all the tweets"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"exampleTweet = allTweets[603]#Just an interesting tweet with all fields filled"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"username : Luma923\n",
"permalink : https://twitter.com/Luma923/status/914998232505307136\n",
"query_criteria : #LasVegasShooting\n",
"text : @cjgmartell Mmm... 3 yrs ago, 2014 #LasVegasShooting = #falseflag w/2 shooters Las Vegas Shooting Could B False Flag https://www. youtube.com/watch?v=VG1TNd K85dc&sns=tw …\n",
"citations_urls : [u'https://www.youtube.com/watch?v=VG1TNdK85dc&sns=tw']\n",
"hashtags : [u'#falseflag', u'#lasvegasshooting']\n",
"citations_domain_names : [u'www.youtube.com']\n",
"retweets : 0\n",
"favorites : 0\n",
"mentions : [u'@cjgmartell']\n",
"date : 2017-10-03 02:39:13\n",
"deepmoji : {u'Emoji_4': 44, u'Emoji_5': 41, u'Emoji_1': 50, u'Emoji_2': 42, u'Emoji_3': 54, u'Top5%': 0.30533380806446075, u'Pct_5': u'0.0537824', u'Pct_4': u'0.0576868', u'Pct_1': u'0.0686643', u'Pct_3': u'0.062333', u'Pct_2': u'0.0628672'}\n",
"_id : 5a25fae5929c3244118029a4\n",
"geo : \n",
"id : 914998232505307136\n"
]
}
],
"source": [
"for field in exampleTweet: \n",
" print field,':',exampleTweet[field]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As you can go and see in the permanent link (permalink field), this tweet belongs to the user 'Luma923'. The user has some text in the tweet. Two additional hashtags were used in addition the one we searched for(#falseflag', '#lasvegasshooting'). Also note that the user cited a website in the tweet. In this example it is a video sharing website, however on many occasions, mainstream or alternative media are cited. This tweet instance has no retweet nor favorites. The tweet mentions another user (@cjgmartell)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Moreover, the user tweeted on the '#falseflag' hashtag. When analyzing other tweets from the same user, we see that this user posted multiple times on this hashtag by citing to alternative media websites. This shows that by analyzing the relation between users, and the websites they cite (of course taking into account many other variables), it is possible to analyze **media. **"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"gettingStarted\"></a>\n",
"# Part 1: Getting Started"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So, let's get started by learning a bit more about our data."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"basicStatistics1\"></a>\n",
"## 1.1 Basic Statistics"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"How many tweets do we have? "
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"We have a total of 169913 tweets.\n"
]
}
],
"source": [
"print 'We have a total of {} tweets.'.format(len(allTweets))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us figure out some very basic statistics about our dataset. "
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"There are 90721 differrent users.\n",
"A total of 22141 differrent hashtags are used.\n",
"There are 37077 citations in total\n",
"There are 4730 different websites cited by users\n",
"The average lenght of a tweet is 16.49 words.\n",
"The average number of retweets: 4.14\n",
"The average number of favorites: 7.71\n"
]
}
],
"source": [
"# define initial values\n",
"allUsersList = [] #All the users\n",
"totalNumberOfWords = 0.0\n",
"totalRetweets = 0.0\n",
"totalFavorites = 0.0\n",
"allHashtagList = []\n",
"allCitedWebsite = [] # All the websites tweets have ever cited\n",
"userCited = dict() # A dictionary which shows which user cited which website\n",
"\n",
"\n",
"# loop over data\n",
"for tweet in allTweets:\n",
" user_name = tweet['username']\n",
" allUsersList.append(user_name)\n",
" citedByThisUser = userCited.get(user_name,[])#Get the websites cited by this user\n",
" citedByThisUser+= tweet['citations_domain_names']# Add citations of this tweet\n",
" userCited[user_name] = citedByThisUser\n",
" allHashtagList += tweet['hashtags']\n",
" allCitedWebsite += tweet['citations_domain_names']\n",
" totalNumberOfWords += len(tweet['text'].split())#Add number of words used in this tweet\n",
" totalRetweets += tweet['retweets']\n",
" totalFavorites += tweet['favorites']\n",
"\n",
"# Get averages\n",
"averageLength = totalNumberOfWords / len(allTweets)\n",
"averageRetweets = totalRetweets / len(allTweets)\n",
"averageFavorites = totalFavorites / len(allTweets)\n",
"\n",
"# print results\n",
"print 'There are {} differrent users.'.format(len(set(allUsersList)))\n",
"print 'A total of {} differrent hashtags are used.'.format(len(set(allHashtagList)))\n",
"print 'There are {} citations in total'.format(len(allCitedWebsite))\n",
"print 'There are {} different websites cited by users'.format(len(set(allCitedWebsite)))\n",
"print 'The average lenght of a tweet is {} words.'.format(round(averageLength,2))\n",
"print 'The average number of retweets: {}'.format(round(averageRetweets,2))\n",
"print 'The average number of favorites: {}'.format(round(averageFavorites,2))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's see who are the top 5 users who tweeted the most using the hashtag '#LasVegasShooting'."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"nooneishere51 725\n",
"reviewjournal 599\n",
"nativekittens 593\n",
"TrishaDishes 338\n",
"ConsciousOptix 275\n"
]
}
],
"source": [
"for user, nOfTweets in sorted( Counter(allUsersList).iteritems(), key=lambda (user,n):n, reverse = True)[:5]:\n",
" print user,nOfTweets"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We are already getting some insights about the event. If you search for the usernames, you can see that reviewjournal is a local newspaper published in Las Vegas. Also 'nooneishere' and 'ConsciousOptix' look to be supporters of Presiden Donald Trump. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's see what hashtags were the most common"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"#lasvegasshooting 169907\n",
"#lasvegas 18005\n",
"#guncontrolnow 7057\n",
"#guncontrol 6871\n",
"#mandalaybay 5389\n"
]
}
],
"source": [
"for hashTag, nOfTweets in sorted( Counter(allHashtagList).iteritems(), key=lambda (hashTag,n):n, reverse = True)[:5]:\n",
" print hashTag,nOfTweets"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The most frequent hashtags also give some insigths about the event. The event occured at the Mandalay Bay Resort Hotel. After the event, there were severall reactions to guncontrol policies. (Note that the most frequent hashtag is the one we queried for, as expected.)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"popularTweets\"></a>\n",
"## 1.2 The most popular tweets"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"An interesting thing to look into our database are most popular tweets in terms of retweet and favorites. "
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# create databases and define number of desired elements\n",
"get_top = 10\n",
"display_conditions = {\"deepmoji\":0,\"citations_urls\":0,\"citations_domain_names\":0, \"id\":0,\"date\":0, \"query_criteria\":0, \"_id\":0, \"geo\":0, \"mentions\":0, \"hashtags\":0}\n",
"db_by_retweets = tweet_collection.find({}, display_conditions).sort(\"retweets\",pymongo.DESCENDING)[0:get_top]\n",
"db_by_favorites = tweet_collection.find({}, display_conditions).sort(\"favorites\",pymongo.DESCENDING)[0:get_top]\n",
"\n",
"\n",
"# a function that takes a cursor and pretty prints it. \n",
"def print_result(database):\n",
" array = []\n",
" for t in database: \n",
" array.append(t)\n",
" pandas = pd.DataFrame(array)\n",
" display(pandas)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The most retweeted:\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>favorites</th>\n",
" <th>permalink</th>\n",
" <th>retweets</th>\n",
" <th>text</th>\n",
" <th>username</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>29423</td>\n",
" <td>https://twitter.com/paopao619/status/916809797923569665</td>\n",
" <td>16048</td>\n",
" <td>My relative's friend posted this. Wypipo so desperate to make the #LasVegasShooting about brown people #LasVegas pic.twitter.com/InEMbcMxEa</td>\n",
" <td>paopao619</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>9195</td>\n",
" <td>https://twitter.com/MikeTokes/status/919325090277244929</td>\n",
" <td>10862</td>\n",
" <td>BREAKING: Kymberley Suchomel, an eyewitness present at the concert who identified multiple shooters has been found dead. #LasVegasShooting pic.twitter.com/N7IKVBkFkv</td>\n",
" <td>MikeTokes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>14901</td>\n",
" <td>https://twitter.com/CharlesMBlow/status/914807607554183168</td>\n",
" <td>6513</td>\n",
" <td>Prayer may provide comfort and consolation, but it is POLICY that provides protection and prevention. #LasVegasShooting</td>\n",
" <td>CharlesMBlow</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>16475</td>\n",
" <td>https://twitter.com/DineshDSouza/status/915412752910491649</td>\n",
" <td>6486</td>\n",
" <td>Millionaires typically don't go on mass murder sprees--Paddock had a motive &amp; we need to know what it is #LasVegasShooting</td>\n",
" <td>DineshDSouza</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>7126</td>\n",
" <td>https://twitter.com/igorvolsky/status/915361057073451009</td>\n",
" <td>6480</td>\n",
" <td>News orgs obtained Trump's talking points on guns following #LasVegasShooting . He lifted them from @NRA , so I debunked them. Pls share pic.twitter.com/Gq7JXEMlTV</td>\n",
" <td>igorvolsky</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>18143</td>\n",
" <td>https://twitter.com/FoxNews/status/916119532778921984</td>\n",
" <td>6007</td>\n",
" <td>#LasVegasShooting victim on meeting @POTUS : I don't care what anybody has to say to me - he cared. pic.twitter.com/YCaHhPHGdk</td>\n",
" <td>FoxNews</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>25434</td>\n",
" <td>https://twitter.com/DonaldJTrumpJr/status/914819406445862912</td>\n",
" <td>5147</td>\n",
" <td>Our prayers and deepest condolences are with all those affected by the evil perpetrated in #lasvegas #lasvegasshooting</td>\n",
" <td>DonaldJTrumpJr</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>12163</td>\n",
" <td>https://twitter.com/Israel/status/914946705933705216</td>\n",
" <td>4572</td>\n",
" <td>The city Hall of Tel Aviv displays the American flag tonight, as we stand in solidarity w/ the American ppl &amp; #LasVegasShooting victims pic.twitter.com/uoFEVw1Ngo</td>\n",
" <td>Israel</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>19771</td>\n",
" <td>https://twitter.com/MatPatGT/status/914980392905478144</td>\n",
" <td>3893</td>\n",
" <td>Dear Media, Stop glorifying criminals by broadcasting their names and faces. Call the scum what they really are: COWARDS. #LasVegasShooting</td>\n",
" <td>MatPatGT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2081</td>\n",
" <td>https://twitter.com/kwilli1046/status/914923080195166208</td>\n",
" <td>3834</td>\n",
" <td>Would Stronger Gun Control Laws Have Prevented the #LasVegasShooting ?</td>\n",
" <td>kwilli1046</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" favorites permalink \\\n",
"0 29423 https://twitter.com/paopao619/status/916809797923569665 \n",
"1 9195 https://twitter.com/MikeTokes/status/919325090277244929 \n",
"2 14901 https://twitter.com/CharlesMBlow/status/914807607554183168 \n",
"3 16475 https://twitter.com/DineshDSouza/status/915412752910491649 \n",
"4 7126 https://twitter.com/igorvolsky/status/915361057073451009 \n",
"5 18143 https://twitter.com/FoxNews/status/916119532778921984 \n",
"6 25434 https://twitter.com/DonaldJTrumpJr/status/914819406445862912 \n",
"7 12163 https://twitter.com/Israel/status/914946705933705216 \n",
"8 19771 https://twitter.com/MatPatGT/status/914980392905478144 \n",
"9 2081 https://twitter.com/kwilli1046/status/914923080195166208 \n",
"\n",
" retweets \\\n",
"0 16048 \n",
"1 10862 \n",
"2 6513 \n",
"3 6486 \n",
"4 6480 \n",
"5 6007 \n",
"6 5147 \n",
"7 4572 \n",
"8 3893 \n",
"9 3834 \n",
"\n",
" text \\\n",
"0 My relative's friend posted this. Wypipo so desperate to make the #LasVegasShooting about brown people #LasVegas pic.twitter.com/InEMbcMxEa \n",
"1 BREAKING: Kymberley Suchomel, an eyewitness present at the concert who identified multiple shooters has been found dead. #LasVegasShooting pic.twitter.com/N7IKVBkFkv \n",
"2 Prayer may provide comfort and consolation, but it is POLICY that provides protection and prevention. #LasVegasShooting \n",
"3 Millionaires typically don't go on mass murder sprees--Paddock had a motive & we need to know what it is #LasVegasShooting \n",
"4 News orgs obtained Trump's talking points on guns following #LasVegasShooting . He lifted them from @NRA , so I debunked them. Pls share pic.twitter.com/Gq7JXEMlTV \n",
"5 #LasVegasShooting victim on meeting @POTUS : I don't care what anybody has to say to me - he cared. pic.twitter.com/YCaHhPHGdk \n",
"6 Our prayers and deepest condolences are with all those affected by the evil perpetrated in #lasvegas #lasvegasshooting \n",
"7 The city Hall of Tel Aviv displays the American flag tonight, as we stand in solidarity w/ the American ppl & #LasVegasShooting victims pic.twitter.com/uoFEVw1Ngo \n",
"8 Dear Media, Stop glorifying criminals by broadcasting their names and faces. Call the scum what they really are: COWARDS. #LasVegasShooting \n",
"9 Would Stronger Gun Control Laws Have Prevented the #LasVegasShooting ? \n",
"\n",
" username \n",
"0 paopao619 \n",
"1 MikeTokes \n",
"2 CharlesMBlow \n",
"3 DineshDSouza \n",
"4 igorvolsky \n",
"5 FoxNews \n",
"6 DonaldJTrumpJr \n",
"7 Israel \n",
"8 MatPatGT \n",
"9 kwilli1046 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"The most favorited:\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>favorites</th>\n",
" <th>permalink</th>\n",
" <th>retweets</th>\n",
" <th>text</th>\n",
" <th>username</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>29423</td>\n",
" <td>https://twitter.com/paopao619/status/916809797923569665</td>\n",
" <td>16048</td>\n",
" <td>My relative's friend posted this. Wypipo so desperate to make the #LasVegasShooting about brown people #LasVegas pic.twitter.com/InEMbcMxEa</td>\n",
" <td>paopao619</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>25434</td>\n",
" <td>https://twitter.com/DonaldJTrumpJr/status/914819406445862912</td>\n",
" <td>5147</td>\n",
" <td>Our prayers and deepest condolences are with all those affected by the evil perpetrated in #lasvegas #lasvegasshooting</td>\n",
" <td>DonaldJTrumpJr</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>19771</td>\n",
" <td>https://twitter.com/MatPatGT/status/914980392905478144</td>\n",
" <td>3893</td>\n",
" <td>Dear Media, Stop glorifying criminals by broadcasting their names and faces. Call the scum what they really are: COWARDS. #LasVegasShooting</td>\n",
" <td>MatPatGT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>18143</td>\n",
" <td>https://twitter.com/FoxNews/status/916119532778921984</td>\n",
" <td>6007</td>\n",
" <td>#LasVegasShooting victim on meeting @POTUS : I don't care what anybody has to say to me - he cared. pic.twitter.com/YCaHhPHGdk</td>\n",
" <td>FoxNews</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>16475</td>\n",
" <td>https://twitter.com/DineshDSouza/status/915412752910491649</td>\n",
" <td>6486</td>\n",
" <td>Millionaires typically don't go on mass murder sprees--Paddock had a motive &amp; we need to know what it is #LasVegasShooting</td>\n",
" <td>DineshDSouza</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>14901</td>\n",
" <td>https://twitter.com/CharlesMBlow/status/914807607554183168</td>\n",
" <td>6513</td>\n",
" <td>Prayer may provide comfort and consolation, but it is POLICY that provides protection and prevention. #LasVegasShooting</td>\n",
" <td>CharlesMBlow</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>12163</td>\n",
" <td>https://twitter.com/Israel/status/914946705933705216</td>\n",
" <td>4572</td>\n",
" <td>The city Hall of Tel Aviv displays the American flag tonight, as we stand in solidarity w/ the American ppl &amp; #LasVegasShooting victims pic.twitter.com/uoFEVw1Ngo</td>\n",
" <td>Israel</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>12114</td>\n",
" <td>https://twitter.com/Franklin_Graham/status/914783253722263552</td>\n",
" <td>2959</td>\n",
" <td>Pray for the families of those killed and for the 100+ wounded in a shooting rampage last night in #LasVegas . #LasVegasShooting</td>\n",
" <td>Franklin_Graham</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>9991</td>\n",
" <td>https://twitter.com/Franklin_Graham/status/914952619969454080</td>\n",
" <td>2474</td>\n",
" <td>“May God give us the grace of healing &amp;...provide the grieving families w/strength to carry on.” - @POTUS Donald J. Trump #LasVegasShooting</td>\n",
" <td>Franklin_Graham</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>9940</td>\n",
" <td>https://twitter.com/FoxNews/status/914928212974510080</td>\n",
" <td>3168</td>\n",
" <td>Hundreds of people lined up to donate blood at a #LasVegas blood bank #lasvegasshooting pic.twitter.com/QNW6LW94Hk</td>\n",
" <td>FoxNews</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" favorites permalink \\\n",
"0 29423 https://twitter.com/paopao619/status/916809797923569665 \n",
"1 25434 https://twitter.com/DonaldJTrumpJr/status/914819406445862912 \n",
"2 19771 https://twitter.com/MatPatGT/status/914980392905478144 \n",
"3 18143 https://twitter.com/FoxNews/status/916119532778921984 \n",
"4 16475 https://twitter.com/DineshDSouza/status/915412752910491649 \n",
"5 14901 https://twitter.com/CharlesMBlow/status/914807607554183168 \n",
"6 12163 https://twitter.com/Israel/status/914946705933705216 \n",
"7 12114 https://twitter.com/Franklin_Graham/status/914783253722263552 \n",
"8 9991 https://twitter.com/Franklin_Graham/status/914952619969454080 \n",
"9 9940 https://twitter.com/FoxNews/status/914928212974510080 \n",
"\n",
" retweets \\\n",
"0 16048 \n",
"1 5147 \n",
"2 3893 \n",
"3 6007 \n",
"4 6486 \n",
"5 6513 \n",
"6 4572 \n",
"7 2959 \n",
"8 2474 \n",
"9 3168 \n",
"\n",
" text \\\n",
"0 My relative's friend posted this. Wypipo so desperate to make the #LasVegasShooting about brown people #LasVegas pic.twitter.com/InEMbcMxEa \n",
"1 Our prayers and deepest condolences are with all those affected by the evil perpetrated in #lasvegas #lasvegasshooting \n",
"2 Dear Media, Stop glorifying criminals by broadcasting their names and faces. Call the scum what they really are: COWARDS. #LasVegasShooting \n",
"3 #LasVegasShooting victim on meeting @POTUS : I don't care what anybody has to say to me - he cared. pic.twitter.com/YCaHhPHGdk \n",
"4 Millionaires typically don't go on mass murder sprees--Paddock had a motive & we need to know what it is #LasVegasShooting \n",
"5 Prayer may provide comfort and consolation, but it is POLICY that provides protection and prevention. #LasVegasShooting \n",
"6 The city Hall of Tel Aviv displays the American flag tonight, as we stand in solidarity w/ the American ppl & #LasVegasShooting victims pic.twitter.com/uoFEVw1Ngo \n",
"7 Pray for the families of those killed and for the 100+ wounded in a shooting rampage last night in #LasVegas . #LasVegasShooting \n",
"8 “May God give us the grace of healing &...provide the grieving families w/strength to carry on.” - @POTUS Donald J. Trump #LasVegasShooting \n",
"9 Hundreds of people lined up to donate blood at a #LasVegas blood bank #lasvegasshooting pic.twitter.com/QNW6LW94Hk \n",
"\n",
" username \n",
"0 paopao619 \n",
"1 DonaldJTrumpJr \n",
"2 MatPatGT \n",
"3 FoxNews \n",
"4 DineshDSouza \n",
"5 CharlesMBlow \n",
"6 Israel \n",
"7 Franklin_Graham \n",
"8 Franklin_Graham \n",
"9 FoxNews "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print 'The most retweeted:'\n",
"print_result(db_by_retweets)\n",
"print 'The most favorited:'\n",
"print_result(db_by_favorites)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As you see between the users who have most popular tweets there are famous politicians and also political activists such as Donald Trump Jr. Also, some important organizations such as Fox News. Generally top tweets do not tend to cite any news but have some emotional content such as this [one](https://twitter.com/paopao619/status/916809797923569665)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"websites\"></a>\n",
"## 1.3 Most Popular Sources Of Information"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"People are spreading news using references. They comment on an event depending on an article and they reference this article to spread the word. So it is pretty interesting to see the sources of information. Let's check the most common urls: "
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"There are 4730 differrent websites where people get information.\n"
]
}
],
"source": [
"print 'There are {} differrent websites where people get information.'.format(len(set(allCitedWebsite)))"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"www.youtube.com 8335\n",
"www.reviewjournal.com 897\n",
"www.facebook.com 860\n",
"www.nytimes.com 610\n",
"www.pscp.tv 596\n",
"www.instagram.com 535\n",
"www.gofundme.com 497\n",
"www.foxnews.com 448\n",
"www.washingtonpost.com 441\n",
"www.theguardian.com 308\n",
"www.intellihub.com 295\n",
"www.dailymail.co.uk 255\n",
"abcnews.go.com 247\n",
"www.cnn.com 239\n",
"www.infowars.com 225\n"
]
}
],
"source": [
"for webSite, nOfCitation in sorted( Counter(allCitedWebsite).iteritems(), key=lambda (w,n):n, reverse = True)[:15]:\n",
" print webSite,nOfCitation"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here we can see some mainstream media such as New York Times, Fox News, CNN, and the Washingtonpost. However, people also cite some alternative media such as InfoWars and IntelliHub."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"visualizeByTime\"></a>\n",
"## 1.4 Visualizing over time"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It's also very interesting to understand the tweets in our database from a chronological point of view. So let's see chronological distribution."
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAABSIAAAO+CAYAAAAQXGslAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\niIiIgu7/AIrRIYLCj+B0AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fccfd580bd0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# get dates and remove seconds for readability purposes\n",
"dates = list(set([tweet['date'] for tweet in allTweets]))\n",
"no_seconds = [date.replace( minute=0, second=0, microsecond=0) for date in dates] \n",
"\n",
"# count occurences\n",
"counter = dict(Counter(no_seconds))\n",
"\n",
"# prepare plot\n",
"x = []\n",
"y = []\n",
"for element in counter:\n",
" x.append(element)\n",
" y.append(counter[element])\n",
"\n",
"# plot nicely \n",
"plt.title('Number of tweets per date')\n",
"plt.ylabel('Number of tweets')\n",
"plt.xlabel('Date')\n",
"plt.scatter(x, y, c=y, marker='.', s=y)\n",
"plt.xlim([min(x), max(x)])\n",
"plt.ylim([min(y),max(y)])\n",
"plt.grid()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"An interesting fact we see here is that the closer we are to the event, the more tweets we have (exponential distribution actually). However of course in the first couple of hours there are few people who know the event so we have less tweets. Thus if focus on the first two days we see the next plot."
]
},
{
"cell_type": "code",
"execution_count": 107,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAABSQAAAO+CAYAAAAdQhtiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fccfd580410>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#Get first 2 days\n",
"firstTwoDays = sorted(x)[:48]\n",
"nOfTweetsInFirstTwoDays = [counter[hour] for hour in firstTwoDays]\n",
"# plot nicely \n",
"plt.title('Number of tweets per date in first Two Days ')\n",
"plt.ylabel('Number of tweets')\n",
"plt.xlabel('Date')\n",
"plt.scatter(firstTwoDays, nOfTweetsInFirstTwoDays, c=nOfTweetsInFirstTwoDays, marker='.', s=nOfTweetsInFirstTwoDays)\n",
"plt.xlim([min(firstTwoDays), max(firstTwoDays)])\n",
"plt.grid()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"networkAnalysis\"></a>\n",
"# PART 2. NETWORK ANALYSIS\n",
"\n",
"We have very rich and interesting data to analyze. There are different networks hidden in our data. \n",
"\n",
"From the tweets we collected we are going to generate a number of different networks that we will be used throughout the analysis. \n",
"\n",
"**Network 1:**\n",
"For the first network, the *nodes* are the users who have tweeted under the hashtag '#LasVegasShooting'. The *edges* will be constructed through mentions in these tweets. So, when a tweet mentions another user that is also a *node* in the network, there will be an *edge* between these two. We will refer to this network as `mention_graph`. \n",
"\n",
"**Network 2:**\n",
"For the second network, *nodes* are still the users. We define the *edges* between *nodes* if they share a common hashtag, not including the query hashtags. For example if two tweets from different *nodes* use the hashtag **#GunSense**, we will create an *edge* between them. We will refer to this network as `hashtag_graph`. \n",
"\n",
"**Network 3:**\n",
"Finally, for the third network, *nodes* are sources of information. Those are the websites, users are referencing to. We define the *edges* between *nodes* if same user share an article from both of the websites. For example if the user 'DonaldTrumpJr' shared articles from both 'Fox News' and 'CNN' there will be an edge between these nodes. \n",
"\n",
"Below we will start creating the networks."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"mentionGraph\"></a>\n",
"## 2.1 Mention Graph "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's create the mention graph first."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of nodes in mention_graph 90721\n",
"Number of edges in mention_graph 6209\n"
]
}
],
"source": [
"import networkx as nx\n",
"from collections import defaultdict\n",
"from itertools import combinations\n",
"\n",
"# start by finding all unique usernames in the tweets \n",
"usernames = list(set(allUsersList))\n",
"\n",
"# create two separate graphs for mention relations \n",
"mention_graph = nx.Graph()\n",
"\n",
"# add nodes from users that wrote tweets\n",
"mention_graph.add_nodes_from(usernames)\n",
"\n",
"print 'Number of nodes in mention_graph', len(mention_graph.nodes())\n",
"\n",
"# add edges to mention_graph between mentions in tweets \n",
"# get all tweets with their mentions\n",
"tweet_mentions = list(tweet_collection.find({'mentions': {'$ne' : [],}}, {'username': 1, 'mentions': 1}))\n",
"\n",
"\n",
"# define a default dictionary to store the unique mentions used per user as a set\n",
"mentions_dict = defaultdict(set)\n",
"\n",
"# populate dict {username: set(mentions)}\n",
"for tweet in tweet_mentions:\n",
" # get mentions from without @ (@DonaldTrumpJr -> DonaldTrumpJr)\n",
" mentions = map(lambda mention: mention[1:], tweet['mentions'])\n",
" # update dict\n",
" mentions_dict[tweet['username']].update(mentions)\n",
"\n",
"# add edges from mentions_dict\n",
"for user, mentions in mentions_dict.iteritems():\n",
" for to_node in mentions:\n",
" if mention_graph.has_node(to_node):\n",
" mention_graph.add_edge(user, to_node)\n",
" \n",
"print 'Number of edges in mention_graph', len(mention_graph.edges())\n",
"\n",
"# get degree distributions\n",
"mention_degree = dict(mention_graph.degree())\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As you see in this graph there are much more nodes than edges. Actually this is expected because people in twitter generally tend to mention other people if there is a direct relation to the event with the mentioned user."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To further analyze this graph let's see some basic statistics about the graph."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Basic stats on Mention Graph\n",
"### Degree distribution\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's analyze the degree distribution to understand our graph."
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA+wAAADpCAYAAAC+/L2mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAADYof8P+DpqqT5u5CsAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcdeb7cd990>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use('fivethirtyeight')\n",
"# get minumum and maximum degrees\n",
"min_mention_degree, max_mention_degree = min(mention_degree.values()), max(mention_degree.values())\n",
"\n",
"# plot the degree distributions\n",
"plt.figure()\n",
"plt.subplot(211)\n",
"plt.yscale('log', nonposy='clip')\n",
"plt.title('Mention graph degree distribution')\n",
"plt.xlabel('Degree')\n",
"plt.ylabel('Number of nodes')\n",
"d = sorted(mention_degree.values(),reverse=True)\n",
"r = range(min_mention_degree, max_mention_degree + 1)\n",
"_ = plt.hist(d,r) # degree sequence\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that the histogram above is in logarithmic scale let's see the distribution in loglog scale also."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA+0AAAGtCAYAAABjgJVWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ndI1wMyZQjQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcdfd371150>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"c = Counter(d)\n",
"frequency = c.values()\n",
"degrees_values = c.keys()\n",
"plt.loglog(degrees_values, frequency, 'ro')\n",
"plt.xlabel('k')\n",
"plt.ylabel('count')\n",
"plt.title('LogLog Plot of Degree Distribution for Mention Graph')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As you can see we can safely say that the degree distribution follows power law. Note that there a lot of nodes without any connection. Here it is wiser to look only to GCC."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### The GCC\n",
"### Plotting the size of components\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's get all the connected components. Biggest one will be the GCC."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The mention graph has 85876 disconnected components\n"
]
}
],
"source": [
"# components_mention = pickle.load(open('componentsMention','rb'))\n",
"components_mention = sorted(nx.connected_component_subgraphs(mention_graph), key=len, reverse=True)\n",
"print 'The mention graph has {0} disconnected components'.format(len(components_mention))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A lot of subgraphs! Let's try to understand their sizes."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA/kAAADpCAYAAAB/e/cKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nXVsAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcdcf232e90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"plt.subplot(211)\n",
"mention_component_lengths = [len(c) for c in components_mention]\n",
"plt.yscale('log', nonposy='clip')\n",
"plt.title('Mention graph components')\n",
"plt.ylabel('Number of components')\n",
"plt.xlabel('Number of nodes')\n",
"max_mcl = max(mention_component_lengths)\n",
"_ = plt.hist(mention_component_lengths, range(max_mcl + 1))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So apparently most of the components are actually pretty small. Let's see first 5 biggest component."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[3832, 20, 11, 11, 10]"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mention_component_lengths[:5]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here we can see that GCC is big enough to give us good insight."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Examining the GCC\n",
"\n",
"Since the main graph is so disconnecte, we decide to only work with the GCC of the graph. This allows us to perform more in depth analysis."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The GCC of the mention graph has 3832 nodes and 5078 edges.\n",
" - Average degree: 2.65970772443\n"
]
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA+gAAAGSCAYAAABwhetqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcdd1b45ed0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# get the giant connected component for both graphs\n",
"mention_gcc = components_mention[0]\n",
"mention_degree_gcc = dict(nx.degree(mention_gcc))\n",
"\n",
"# number of nodes and edges\n",
"print 'The GCC of the mention graph has {nodes} nodes and {edges} edges.'.format(nodes=len(mention_gcc.nodes()), edges=len(mention_gcc.edges()))\n",
"print ' - Average degree:', float(sum(mention_degree_gcc.values())) / len(mention_gcc.nodes())\n",
"\n",
"# draw the graphs\n",
"nx.draw_networkx(mention_gcc, pos=nx.spring_layout(mention_gcc), node_size=[v * 100 for v in mention_degree.values()], with_labels=False)\n",
"plt.title('Mention GCC')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here the size of the nodes depend on their degrees. Obviously there are some guys who have lots of connections. Let's see who those are. "
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[(u'CNN', 649), (u'FoxNews', 538), (u'LauraLoomer', 516), (u'TuckerCarlson', 195), (u'RealAlexJones', 160)]\n"
]
}
],
"source": [
"mention_degree_gcc = dict(nx.degree(mention_gcc))\n",
"usersWithMostDegree = sorted(mention_degree_gcc.items(), key = lambda x:x[1], reverse = True)[:5]\n",
"print usersWithMostDegree"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Apparently people like to mention about he media in their tweets. Here we can also see that especially right wing polytical commentators (Alex Jones, TuckerCarlson) was mentioned frequently by users. This might be because the event concerns laws about gun restriction in U.S.A. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### GCC degree distribution\n",
"\n",
"Since we are now only looking at the *GCC*, we run the *degree distribution* again. This time we have no *nodes* without *edges*. "
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The user with the lowest degree: (u'SonoranRed', 1)\n"
]
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA+0AAADpCAYAAABRPtaYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nVkppBwAAgJX6BB7nkE8jl8smAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcdd19b3290>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# get minumum and maximum degrees\n",
"max_mention_gcc_degree = max(mention_degree_gcc.values())\n",
"\n",
"# plot the degree distributions\n",
"plt.figure()\n",
"plt.subplot(211)\n",
"plt.yscale('log', nonposy='clip')\n",
"plt.title('Mention GCC degree distribution')\n",
"plt.xlabel('Degree')\n",
"plt.ylabel('Number of nodes')\n",
"_=plt.hist(sorted(mention_degree_gcc.values(),reverse=True), range(max_mention_gcc_degree + 1)) # degree sequence\n",
"\n",
"#So let's also print the node in the gcc with the minimum degree to see if it has a link\n",
"print 'The user with the lowest degree:', min(mention_degree_gcc.items(), key= lambda x: x[1])\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As you see now in GCC all nodes have at least one degree and the distribution is nicer."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Community detection"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To further analyze our graph, let's now see the communities to understand if some users are especially mentioning between eachother."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"For the mention GCC we have found 42 communities\n"
]
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA98AAAF9CAYAAAAduNt8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcde0883a50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import community\n",
"\n",
"# use the python Louvain implementation to find communities in the networks\n",
"partition_mention = community.best_partition(mention_gcc)\n",
"\n",
"#drawing\n",
"mention_size = float(len(set(partition_mention.values())))\n",
"pos = nx.spring_layout(mention_gcc)\n",
"count = 0.\n",
"for com in set(partition_mention.values()) :\n",
" count = count + 1.\n",
" list_nodes = [nodes for nodes in partition_mention.keys()\n",
" if partition_mention[nodes] == com]\n",
" nx.draw_networkx_nodes(mention_gcc, pos, list_nodes, node_size = 20,\n",
" node_color = str(count / mention_size))\n",
"\n",
"print 'For the mention GCC we have found {} communities'.format(int(mention_size))\n",
"nx.draw_networkx_edges(mention_gcc,pos, alpha=0.4)\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us dive a little deeper in what these communities are. \n",
"\n",
"First, we will look into the sizes of the communities and the biggest accounts in the communities. This is to get a sense for the kind of accounts we find. \n",
"\n",
"Then, we will look into the most common hashtags used in every community in the mention graph. This is to get a feeling for the topics that live in every community. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Community Analysis"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Below you can see a table showing each community size, their mostly cited source of information, the biggest account in the community (in terms of degree). "
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": true,
"scrolled": false
},
"outputs": [],
"source": [
"import twitter\n",
"# look at accounts in each partition with highest degree\n",
"\n",
"# twitter api credentials for lookup\n",
"CONSUMER_KEY='29JF8nm5HttFcbwyNXkIq8S5b'\n",
"CONSUMER_SECRET='szo1IuEuyHuHCnh93VjLLGb5xg9NcfDVqMsLtOt3DbL5hXxpbt'\n",
"OAUTH_TOKEN='575782797-w96NPIzKF07TpC3c78nEadEfACLclYvSusuOPl8z'\n",
"OAUTH_TOKEN_SECRET='h0oitwxLkDjOLSejSQl2AWSrcmNeUwBpEvSUWonYzZTNz'\n",
"\n",
"# instantiate API object\n",
"auth = twitter.oauth.OAuth(OAUTH_TOKEN, OAUTH_TOKEN_SECRET, CONSUMER_KEY, CONSUMER_SECRET)\n",
"twitter_api= twitter.Twitter(auth=auth)\n",
"\n",
"# uxilirary function\n",
"def inverse_partition(partition):\n",
" components_inv = defaultdict(list)\n",
" for key, value in partition.iteritems():\n",
" components_inv[value].append(key)\n",
" return components_inv\n",
"\n",
"# get top accounts by degree\n",
"def partition_top_accounts(partition, degree):\n",
" part_inv = inverse_partition(partition)\n",
" return {part: max(usernames, key=lambda user: degree[user]) for part, usernames in part_inv.iteritems()}\n",
"\n",
"# get data on account\n",
"def twitter_account(username):\n",
" return twitter_api.users.lookup(screen_name=username)\n",
"\n",
"# Get the most commonly cited website\n",
"def getMostCommonWebsite(partition, userCited):\n",
" inv = inverse_partition(partition)\n",
" out = dict()\n",
" for com in inv:\n",
" l = []\n",
" for user in inv[com]:\n",
" l+= list(set(userCited[user]))#Add all the citations only ONCE to a list in this community\n",
" \n",
" c = Counter(l)\n",
" mostFreqSite = max(set(l), key=l.count) \n",
" out[com] = (mostFreqSite, round(c[mostFreqSite],2))\n",
" return out\n",
" \n",
" \n",
" \n",
"# display data in dataframe\n",
"def pprint_partition_overview(partition, degree, userCited):\n",
" data = []\n",
" columns = ['Community No', 'Most Cited Website in Community','Percentage of Users who cited', 'Community Size', 'Screen Name', 'Name', 'Url', 'Location', 'Followers', 'Degree']\n",
" top_accounts = partition_top_accounts(partition, degree) \n",
" top_websites = getMostCommonWebsite(partition,userCited)\n",
" \n",
" for part_id, account in top_accounts.iteritems():\n",
" user = twitter_account(account)[0]\n",
"# print pprint( user)\n",
" url = ''\n",
" try:\n",
" url = user['entities']['url']['urls'][0]['display_url']\n",
" except:\n",
" pass\n",
" \n",
" row = {\n",
" 'Community No': part_id,\n",
" 'Most Cited Website in Community': top_websites[part_id][0],\n",
" 'Percentage of Users who cited': float(top_websites[part_id][1])/len(inverse_partition(partition)[part_id]) * 100,\n",
" 'Community Size': len(inverse_partition(partition)[part_id]),\n",
" 'Screen Name': account,\n",
" 'Name': user['name'],\n",
" 'Url': url,\n",
" 'Location': user['location'],\n",
" 'Followers': user['followers_count'],\n",
" 'Degree': degree[account]\n",
" }\n",
" data.append(row)\n",
" data.sort(key=lambda row: row['Percentage of Users who cited'], reverse=True)\n",
" df = pd.DataFrame(data)\n",
" df = df[columns]\n",
" display(df)\n"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overview of communities\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Community No</th>\n",
" <th>Most Cited Website in Community</th>\n",
" <th>Percentage of Users who cited</th>\n",
" <th>Community Size</th>\n",
" <th>Screen Name</th>\n",
" <th>Name</th>\n",
" <th>Url</th>\n",
" <th>Location</th>\n",
" <th>Followers</th>\n",
" <th>Degree</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>5</td>\n",
" <td>www.pscp.tv</td>\n",
" <td>83.333333</td>\n",
" <td>60</td>\n",
" <td>SmythRadio</td>\n",
" <td>Kerry Smyth</td>\n",
" <td>smythradio.info</td>\n",
" <td>Cincinnati, OH</td>\n",
" <td>15694</td>\n",
" <td>32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>40</td>\n",
" <td>theantimedia.org</td>\n",
" <td>75.000000</td>\n",
" <td>8</td>\n",
" <td>AntiMedia</td>\n",
" <td>Anti-Media</td>\n",
" <td>TheAntiMedia.org</td>\n",
" <td></td>\n",
" <td>45317</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>32</td>\n",
" <td>www.youtube.com</td>\n",
" <td>50.000000</td>\n",
" <td>8</td>\n",
" <td>vinarmani</td>\n",
" <td>Ⓥin Ⓐrmani</td>\n",
" <td>SelfOwnership.me</td>\n",
" <td>Las Vegas</td>\n",
" <td>10238</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>6</td>\n",
" <td>www.intellihub.com</td>\n",
" <td>40.697674</td>\n",
" <td>86</td>\n",
" <td>intellihubnews</td>\n",
" <td>Intellihub</td>\n",
" <td>intellihub.com</td>\n",
" <td></td>\n",
" <td>26213</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>3</td>\n",
" <td>www.youtube.com</td>\n",
" <td>37.228261</td>\n",
" <td>368</td>\n",
" <td>RealAlexJones</td>\n",
" <td>Alex Jones</td>\n",
" <td>infowars.com</td>\n",
" <td>Austin, TX</td>\n",
" <td>754556</td>\n",
" <td>160</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>1</td>\n",
" <td>www.youtube.com</td>\n",
" <td>34.024896</td>\n",
" <td>482</td>\n",
" <td>LauraLoomer</td>\n",
" <td>Laura Loomer</td>\n",
" <td>lauraloomer.us</td>\n",
" <td>New York, USA</td>\n",
" <td>112096</td>\n",
" <td>516</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>21</td>\n",
" <td>boston25.com</td>\n",
" <td>33.333333</td>\n",
" <td>6</td>\n",
" <td>boston25</td>\n",
" <td>Boston 25 News</td>\n",
" <td>Boston25News.com</td>\n",
" <td>Boston, MA</td>\n",
" <td>298877</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>27</td>\n",
" <td>soundcloud.com</td>\n",
" <td>33.333333</td>\n",
" <td>6</td>\n",
" <td>TrumpCard555</td>\n",
" <td>Deplorable Kathy</td>\n",
" <td></td>\n",
" <td>Pensilvânia, USA</td>\n",
" <td>6554</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>28</td>\n",
" <td>www.cbc.ca</td>\n",
" <td>33.333333</td>\n",
" <td>6</td>\n",
" <td>CharlieDaniels</td>\n",
" <td>Charlie Daniels</td>\n",
" <td>charliedaniels.com</td>\n",
" <td>Mt. Juliet, TN</td>\n",
" <td>597081</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>39</td>\n",
" <td>www.youtube.com</td>\n",
" <td>33.333333</td>\n",
" <td>9</td>\n",
" <td>France24_en</td>\n",
" <td>FRANCE 24 English</td>\n",
" <td>france24.com/en/</td>\n",
" <td>Paris, France</td>\n",
" <td>181614</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>38</td>\n",
" <td>wjla.com</td>\n",
" <td>28.571429</td>\n",
" <td>7</td>\n",
" <td>ABC7News</td>\n",
" <td>ABC 7 News - WJLA</td>\n",
" <td>wjla.com</td>\n",
" <td>Washington, DC</td>\n",
" <td>142811</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>7</td>\n",
" <td>www.youtube.com</td>\n",
" <td>24.137931</td>\n",
" <td>29</td>\n",
" <td>ralphlopez</td>\n",
" <td>Ralph Lopez</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>82</td>\n",
" <td>20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>24.050633</td>\n",
" <td>79</td>\n",
" <td>Timothytrippin</td>\n",
" <td>Timothy Sullivan</td>\n",
" <td></td>\n",
" <td>Central Fifth Dimension</td>\n",
" <td>1508</td>\n",
" <td>27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>34</td>\n",
" <td>www.c-span.org</td>\n",
" <td>22.222222</td>\n",
" <td>9</td>\n",
" <td>cspanwj</td>\n",
" <td>Washington Journal</td>\n",
" <td>c-span.org/WJ</td>\n",
" <td>Washington, DC</td>\n",
" <td>57340</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>15</td>\n",
" <td>www.reviewjournal.com</td>\n",
" <td>20.571429</td>\n",
" <td>175</td>\n",
" <td>reviewjournal</td>\n",
" <td>Las Vegas RJ</td>\n",
" <td>reviewjournal.com</td>\n",
" <td>Las Vegas, NV</td>\n",
" <td>229333</td>\n",
" <td>113</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>24</td>\n",
" <td>www.youtube.com</td>\n",
" <td>20.370370</td>\n",
" <td>54</td>\n",
" <td>OANN</td>\n",
" <td>One America News</td>\n",
" <td>oann.com</td>\n",
" <td></td>\n",
" <td>155062</td>\n",
" <td>19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>29</td>\n",
" <td>www.newsmaxtv.com</td>\n",
" <td>20.000000</td>\n",
" <td>5</td>\n",
" <td>RitaCosby</td>\n",
" <td>Rita Cosby</td>\n",
" <td>RITACOSBY.com</td>\n",
" <td>WABC RADIO</td>\n",
" <td>120595</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>36</td>\n",
" <td>www.ksl.com</td>\n",
" <td>20.000000</td>\n",
" <td>10</td>\n",
" <td>KSL5TV</td>\n",
" <td>KSL 5 TV</td>\n",
" <td>ksl.com/index.php</td>\n",
" <td>Salt Lake City, Utah</td>\n",
" <td>62235</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>16</td>\n",
" <td>www.youtube.com</td>\n",
" <td>19.672131</td>\n",
" <td>61</td>\n",
" <td>scrowder</td>\n",
" <td>Steven Crowder</td>\n",
" <td>louderwithcrowder.com</td>\n",
" <td>Ghostlike</td>\n",
" <td>490897</td>\n",
" <td>20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2</td>\n",
" <td>www.youtube.com</td>\n",
" <td>17.647059</td>\n",
" <td>187</td>\n",
" <td>TuckerCarlson</td>\n",
" <td>Tucker Carlson</td>\n",
" <td></td>\n",
" <td>Washington, DC</td>\n",
" <td>1356392</td>\n",
" <td>195</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>8</td>\n",
" <td>truthfeednews.com</td>\n",
" <td>17.647059</td>\n",
" <td>17</td>\n",
" <td>Lrihendry</td>\n",
" <td>Lori Hendry</td>\n",
" <td>RedWhiteandLori.com</td>\n",
" <td></td>\n",
" <td>208607</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>31</td>\n",
" <td>www.fox5atlanta.com</td>\n",
" <td>16.666667</td>\n",
" <td>6</td>\n",
" <td>FOX5Atlanta</td>\n",
" <td>FOX 5 Atlanta</td>\n",
" <td>fox5atlanta.com</td>\n",
" <td>Atlanta</td>\n",
" <td>557489</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>41</td>\n",
" <td>www1.cbn.com</td>\n",
" <td>16.666667</td>\n",
" <td>6</td>\n",
" <td>CBNNews</td>\n",
" <td>CBN News</td>\n",
" <td>cbnnews.com</td>\n",
" <td>D.C.-Nashville-Jerusalem-VA</td>\n",
" <td>68703</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>23</td>\n",
" <td>lasvegassun.com</td>\n",
" <td>16.216216</td>\n",
" <td>37</td>\n",
" <td>LasVegasSun</td>\n",
" <td>Las Vegas Sun</td>\n",
" <td>lasvegassun.com</td>\n",
" <td>Las Vegas, NV</td>\n",
" <td>224171</td>\n",
" <td>32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>33</td>\n",
" <td>www.youtube.com</td>\n",
" <td>15.384615</td>\n",
" <td>13</td>\n",
" <td>yesgregyes</td>\n",
" <td>Greg Morelli</td>\n",
" <td>yesgregyes.com</td>\n",
" <td>Chicago, Illinois</td>\n",
" <td>1029</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>20</td>\n",
" <td>www.usatoday.com</td>\n",
" <td>15.000000</td>\n",
" <td>100</td>\n",
" <td>USATODAY</td>\n",
" <td>USA TODAY</td>\n",
" <td>usatoday.com</td>\n",
" <td>USA TODAY HQ, McLean, Va.</td>\n",
" <td>3529342</td>\n",
" <td>40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>35</td>\n",
" <td>www.politico.com</td>\n",
" <td>14.285714</td>\n",
" <td>7</td>\n",
" <td>juliettekayyem</td>\n",
" <td>Juliette Kayyem</td>\n",
" <td>juliettekayyem.com</td>\n",
" <td>United States</td>\n",
" <td>72576</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>10</td>\n",
" <td>abc7.com</td>\n",
" <td>13.043478</td>\n",
" <td>69</td>\n",
" <td>ABC7</td>\n",
" <td>ABC7 Eyewitness News</td>\n",
" <td>abc7.com</td>\n",
" <td></td>\n",
" <td>1009448</td>\n",
" <td>20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>26</td>\n",
" <td>www.news1130.com</td>\n",
" <td>11.764706</td>\n",
" <td>17</td>\n",
" <td>NEWS1130</td>\n",
" <td>NEWS 1130</td>\n",
" <td>news1130.com</td>\n",
" <td>Vancouver</td>\n",
" <td>211788</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>19</td>\n",
" <td>www.pscp.tv</td>\n",
" <td>10.606061</td>\n",
" <td>66</td>\n",
" <td>NewsHour</td>\n",
" <td>PBS NewsHour</td>\n",
" <td>pbs.org/newshour/</td>\n",
" <td>Arlington, VA | New York, NY</td>\n",
" <td>983640</td>\n",
" <td>16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>14</td>\n",
" <td>thehill.com</td>\n",
" <td>10.344828</td>\n",
" <td>29</td>\n",
" <td>AliVelshi</td>\n",
" <td>Ali Velshi</td>\n",
" <td>thevx.com</td>\n",
" <td>New York/Philly/The World</td>\n",
" <td>294448</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>11</td>\n",
" <td>www.youtube.com</td>\n",
" <td>8.505747</td>\n",
" <td>435</td>\n",
" <td>FoxNews</td>\n",
" <td>Fox News</td>\n",
" <td>foxnews.com</td>\n",
" <td>U.S.A.</td>\n",
" <td>16584348</td>\n",
" <td>538</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>30</td>\n",
" <td>www.youtube.com</td>\n",
" <td>8.333333</td>\n",
" <td>24</td>\n",
" <td>watchyourReps</td>\n",
" <td>Watch Your Reps</td>\n",
" <td></td>\n",
" <td>United States</td>\n",
" <td>848</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>18</td>\n",
" <td>www.youtube.com</td>\n",
" <td>7.920792</td>\n",
" <td>101</td>\n",
" <td>AC360</td>\n",
" <td>Anderson Cooper 360°</td>\n",
" <td>ac360.com</td>\n",
" <td>New York, NY</td>\n",
" <td>1133762</td>\n",
" <td>44</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>22</td>\n",
" <td>www.foxnews.com</td>\n",
" <td>7.352941</td>\n",
" <td>68</td>\n",
" <td>ATFHQ</td>\n",
" <td>ATF HQ</td>\n",
" <td>atf.gov</td>\n",
" <td>Washington, DC</td>\n",
" <td>47997</td>\n",
" <td>29</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>25</td>\n",
" <td>globalnews.ca</td>\n",
" <td>7.142857</td>\n",
" <td>14</td>\n",
" <td>CharlesMBlow</td>\n",
" <td>Charles M. Blow</td>\n",
" <td>topics.nytimes.com/top/opinion/ed…</td>\n",
" <td>Brooklyn</td>\n",
" <td>414445</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>37</td>\n",
" <td>www.ajc.com</td>\n",
" <td>6.666667</td>\n",
" <td>15</td>\n",
" <td>GovAbbott</td>\n",
" <td>Gov. Greg Abbott</td>\n",
" <td>bit.ly/1RQpY3j</td>\n",
" <td>The Texas Capitol, Austin, TX</td>\n",
" <td>151756</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>4</td>\n",
" <td>edition.cnn.com</td>\n",
" <td>6.609808</td>\n",
" <td>469</td>\n",
" <td>CNN</td>\n",
" <td>CNN</td>\n",
" <td>cnn.com</td>\n",
" <td></td>\n",
" <td>38682912</td>\n",
" <td>649</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>13</td>\n",
" <td>www.youtube.com</td>\n",
" <td>5.434783</td>\n",
" <td>276</td>\n",
" <td>CityOfLasVegas</td>\n",
" <td>City of Las Vegas</td>\n",
" <td>lasvegasnevada.gov</td>\n",
" <td>Las Vegas, Nevada</td>\n",
" <td>223481</td>\n",
" <td>116</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>9</td>\n",
" <td>www.youtube.com</td>\n",
" <td>5.405405</td>\n",
" <td>111</td>\n",
" <td>SenJohnMcCain</td>\n",
" <td>John McCain</td>\n",
" <td></td>\n",
" <td>Phoenix, AZ / Washington, DC</td>\n",
" <td>3029886</td>\n",
" <td>36</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>17</td>\n",
" <td>www.iol.co.za</td>\n",
" <td>5.405405</td>\n",
" <td>111</td>\n",
" <td>SkyNews</td>\n",
" <td>Sky News</td>\n",
" <td>news.sky.com</td>\n",
" <td>London, UK</td>\n",
" <td>4423583</td>\n",
" <td>44</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>12</td>\n",
" <td>www.youtube.com</td>\n",
" <td>5.376344</td>\n",
" <td>186</td>\n",
" <td>MomsDemand</td>\n",
" <td>Moms Demand Action</td>\n",
" <td>momsdemandaction.org</td>\n",
" <td>USA</td>\n",
" <td>88921</td>\n",
" <td>87</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Community No Most Cited Website in Community \\\n",
"0 5 www.pscp.tv \n",
"1 40 theantimedia.org \n",
"2 32 www.youtube.com \n",
"3 6 www.intellihub.com \n",
"4 3 www.youtube.com \n",
"5 1 www.youtube.com \n",
"6 21 boston25.com \n",
"7 27 soundcloud.com \n",
"8 28 www.cbc.ca \n",
"9 39 www.youtube.com \n",
"10 38 wjla.com \n",
"11 7 www.youtube.com \n",
"12 0 www.youtube.com \n",
"13 34 www.c-span.org \n",
"14 15 www.reviewjournal.com \n",
"15 24 www.youtube.com \n",
"16 29 www.newsmaxtv.com \n",
"17 36 www.ksl.com \n",
"18 16 www.youtube.com \n",
"19 2 www.youtube.com \n",
"20 8 truthfeednews.com \n",
"21 31 www.fox5atlanta.com \n",
"22 41 www1.cbn.com \n",
"23 23 lasvegassun.com \n",
"24 33 www.youtube.com \n",
"25 20 www.usatoday.com \n",
"26 35 www.politico.com \n",
"27 10 abc7.com \n",
"28 26 www.news1130.com \n",
"29 19 www.pscp.tv \n",
"30 14 thehill.com \n",
"31 11 www.youtube.com \n",
"32 30 www.youtube.com \n",
"33 18 www.youtube.com \n",
"34 22 www.foxnews.com \n",
"35 25 globalnews.ca \n",
"36 37 www.ajc.com \n",
"37 4 edition.cnn.com \n",
"38 13 www.youtube.com \n",
"39 9 www.youtube.com \n",
"40 17 www.iol.co.za \n",
"41 12 www.youtube.com \n",
"\n",
" Percentage of Users who cited Community Size Screen Name \\\n",
"0 83.333333 60 SmythRadio \n",
"1 75.000000 8 AntiMedia \n",
"2 50.000000 8 vinarmani \n",
"3 40.697674 86 intellihubnews \n",
"4 37.228261 368 RealAlexJones \n",
"5 34.024896 482 LauraLoomer \n",
"6 33.333333 6 boston25 \n",
"7 33.333333 6 TrumpCard555 \n",
"8 33.333333 6 CharlieDaniels \n",
"9 33.333333 9 France24_en \n",
"10 28.571429 7 ABC7News \n",
"11 24.137931 29 ralphlopez \n",
"12 24.050633 79 Timothytrippin \n",
"13 22.222222 9 cspanwj \n",
"14 20.571429 175 reviewjournal \n",
"15 20.370370 54 OANN \n",
"16 20.000000 5 RitaCosby \n",
"17 20.000000 10 KSL5TV \n",
"18 19.672131 61 scrowder \n",
"19 17.647059 187 TuckerCarlson \n",
"20 17.647059 17 Lrihendry \n",
"21 16.666667 6 FOX5Atlanta \n",
"22 16.666667 6 CBNNews \n",
"23 16.216216 37 LasVegasSun \n",
"24 15.384615 13 yesgregyes \n",
"25 15.000000 100 USATODAY \n",
"26 14.285714 7 juliettekayyem \n",
"27 13.043478 69 ABC7 \n",
"28 11.764706 17 NEWS1130 \n",
"29 10.606061 66 NewsHour \n",
"30 10.344828 29 AliVelshi \n",
"31 8.505747 435 FoxNews \n",
"32 8.333333 24 watchyourReps \n",
"33 7.920792 101 AC360 \n",
"34 7.352941 68 ATFHQ \n",
"35 7.142857 14 CharlesMBlow \n",
"36 6.666667 15 GovAbbott \n",
"37 6.609808 469 CNN \n",
"38 5.434783 276 CityOfLasVegas \n",
"39 5.405405 111 SenJohnMcCain \n",
"40 5.405405 111 SkyNews \n",
"41 5.376344 186 MomsDemand \n",
"\n",
" Name Url \\\n",
"0 Kerry Smyth smythradio.info \n",
"1 Anti-Media TheAntiMedia.org \n",
"2 Ⓥin Ⓐrmani SelfOwnership.me \n",
"3 Intellihub intellihub.com \n",
"4 Alex Jones infowars.com \n",
"5 Laura Loomer lauraloomer.us \n",
"6 Boston 25 News Boston25News.com \n",
"7 Deplorable Kathy \n",
"8 Charlie Daniels charliedaniels.com \n",
"9 FRANCE 24 English france24.com/en/ \n",
"10 ABC 7 News - WJLA wjla.com \n",
"11 Ralph Lopez \n",
"12 Timothy Sullivan \n",
"13 Washington Journal c-span.org/WJ \n",
"14 Las Vegas RJ reviewjournal.com \n",
"15 One America News oann.com \n",
"16 Rita Cosby RITACOSBY.com \n",
"17 KSL 5 TV ksl.com/index.php \n",
"18 Steven Crowder louderwithcrowder.com \n",
"19 Tucker Carlson \n",
"20 Lori Hendry RedWhiteandLori.com \n",
"21 FOX 5 Atlanta fox5atlanta.com \n",
"22 CBN News cbnnews.com \n",
"23 Las Vegas Sun lasvegassun.com \n",
"24 Greg Morelli yesgregyes.com \n",
"25 USA TODAY usatoday.com \n",
"26 Juliette Kayyem juliettekayyem.com \n",
"27 ABC7 Eyewitness News abc7.com \n",
"28 NEWS 1130 news1130.com \n",
"29 PBS NewsHour pbs.org/newshour/ \n",
"30 Ali Velshi thevx.com \n",
"31 Fox News foxnews.com \n",
"32 Watch Your Reps \n",
"33 Anderson Cooper 360° ac360.com \n",
"34 ATF HQ atf.gov \n",
"35 Charles M. Blow topics.nytimes.com/top/opinion/ed… \n",
"36 Gov. Greg Abbott bit.ly/1RQpY3j \n",
"37 CNN cnn.com \n",
"38 City of Las Vegas lasvegasnevada.gov \n",
"39 John McCain \n",
"40 Sky News news.sky.com \n",
"41 Moms Demand Action momsdemandaction.org \n",
"\n",
" Location Followers Degree \n",
"0 Cincinnati, OH 15694 32 \n",
"1 45317 5 \n",
"2 Las Vegas 10238 4 \n",
"3 26213 59 \n",
"4 Austin, TX 754556 160 \n",
"5 New York, USA 112096 516 \n",
"6 Boston, MA 298877 5 \n",
"7 Pensilvânia, USA 6554 4 \n",
"8 Mt. Juliet, TN 597081 4 \n",
"9 Paris, France 181614 4 \n",
"10 Washington, DC 142811 6 \n",
"11 82 20 \n",
"12 Central Fifth Dimension 1508 27 \n",
"13 Washington, DC 57340 9 \n",
"14 Las Vegas, NV 229333 113 \n",
"15 155062 19 \n",
"16 WABC RADIO 120595 3 \n",
"17 Salt Lake City, Utah 62235 6 \n",
"18 Ghostlike 490897 20 \n",
"19 Washington, DC 1356392 195 \n",
"20 208607 6 \n",
"21 Atlanta 557489 5 \n",
"22 D.C.-Nashville-Jerusalem-VA 68703 5 \n",
"23 Las Vegas, NV 224171 32 \n",
"24 Chicago, Illinois 1029 12 \n",
"25 USA TODAY HQ, McLean, Va. 3529342 40 \n",
"26 United States 72576 6 \n",
"27 1009448 20 \n",
"28 Vancouver 211788 8 \n",
"29 Arlington, VA | New York, NY 983640 16 \n",
"30 New York/Philly/The World 294448 8 \n",
"31 U.S.A. 16584348 538 \n",
"32 United States 848 8 \n",
"33 New York, NY 1133762 44 \n",
"34 Washington, DC 47997 29 \n",
"35 Brooklyn 414445 8 \n",
"36 The Texas Capitol, Austin, TX 151756 9 \n",
"37 38682912 649 \n",
"38 Las Vegas, Nevada 223481 116 \n",
"39 Phoenix, AZ / Washington, DC 3029886 36 \n",
"40 London, UK 4423583 44 \n",
"41 USA 88921 87 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print 'Overview of communities'\n",
"pprint_partition_overview(partition_mention, mention_degree_gcc,userCited)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This table is built in the following way: \n",
"\n",
"+ Each row corresponds to a community found by Louvain algorithm. In you can notice several characteristics such as partition size, the most popular user (in terms of degree), number of followers of this user. \n",
"\n",
"+ You can also see the most cited domain for each of this communities including the percentage of users in the community that cited the domain.\n",
"\n",
"+ Here by most cited website we mean that cited by most of the users. For example in all the citations of the community, if one person cited a site 50 times, we count it as 1.\n",
"\n",
"**Example**: In the first row, community number 5, 83% of the 60 users cited the domain 'www.pscp.tv' (periscope). Furthermore the most popular user in this community is Kerry Smith from Cincinnati,OH with 15K followers.\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Some interesting things are worth noting:\n",
"\n",
"+ Some communities related to a certain source of information(domain) in a very strong way. Notice how on the first two rows, at least 75% of users cited a certain source. \n",
"\n",
"+ When we analyze alternative information sources such as 'intellihub.com' and 'theantimedia.org', we can observe that the citation percentage of their communities quite highly citing these cites (intellihub: 40%, theantimedia: 75%). \n",
"\n",
"+ Also you can see that one of the most common sites is 'youtube.com'. This is expected since people share video news about the event through this site. \n",
"\n",
"+ Another interesting thing we are seeing some of the communities in fact correspond to geographical communites. For example the community 23 is all about the Las Vegas area and its local media (Same situation with Boston community 21).\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A problem we see here is that some communities have youtube as most cited website. This does not tell much about that community. Let's see what are first 3 most cited website in each community."
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Community No</th>\n",
" <th>Community Size</th>\n",
" <th>M1</th>\n",
" <th>P1</th>\n",
" <th>M2</th>\n",
" <th>P2</th>\n",
" <th>M3</th>\n",
" <th>P3</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>5</td>\n",
" <td>60</td>\n",
" <td>www.pscp.tv</td>\n",
" <td>83.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>15.0</td>\n",
" <td>yournewswire.com</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>40</td>\n",
" <td>8</td>\n",
" <td>theantimedia.org</td>\n",
" <td>75.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>50.0</td>\n",
" <td>www.presstv.com</td>\n",
" <td>25.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>32</td>\n",
" <td>8</td>\n",
" <td>www.youtube.com</td>\n",
" <td>50.0</td>\n",
" <td>www.npr.org</td>\n",
" <td>13.0</td>\n",
" <td>www.lasvegasadvisor.com</td>\n",
" <td>13.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>6</td>\n",
" <td>86</td>\n",
" <td>www.intellihub.com</td>\n",
" <td>41.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>34.0</td>\n",
" <td>yournewswire.com</td>\n",
" <td>16.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>3</td>\n",
" <td>368</td>\n",
" <td>www.youtube.com</td>\n",
" <td>37.0</td>\n",
" <td>www.infowars.com</td>\n",
" <td>5.0</td>\n",
" <td>www.intellihub.com</td>\n",
" <td>4.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>1</td>\n",
" <td>482</td>\n",
" <td>www.youtube.com</td>\n",
" <td>34.0</td>\n",
" <td>www.pscp.tv</td>\n",
" <td>12.0</td>\n",
" <td>www.zerohedge.com</td>\n",
" <td>2.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>21</td>\n",
" <td>6</td>\n",
" <td>boston25.com</td>\n",
" <td>33.0</td>\n",
" <td>www.latimes.com</td>\n",
" <td>17.0</td>\n",
" <td>edition.cnn.com</td>\n",
" <td>17.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>27</td>\n",
" <td>6</td>\n",
" <td>soundcloud.com</td>\n",
" <td>33.0</td>\n",
" <td>www.thecommonsenseshow.com</td>\n",
" <td>17.0</td>\n",
" <td>gsiexchange.com</td>\n",
" <td>17.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>28</td>\n",
" <td>6</td>\n",
" <td>www.cbc.ca</td>\n",
" <td>33.0</td>\n",
" <td>www.charliedaniels.com</td>\n",
" <td>17.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>39</td>\n",
" <td>9</td>\n",
" <td>www.youtube.com</td>\n",
" <td>33.0</td>\n",
" <td>www.thedoctorstv.com</td>\n",
" <td>11.0</td>\n",
" <td>www.c-span.org</td>\n",
" <td>11.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>38</td>\n",
" <td>7</td>\n",
" <td>wjla.com</td>\n",
" <td>29.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>0</td>\n",
" <td>79</td>\n",
" <td>www.youtube.com</td>\n",
" <td>24.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>8.0</td>\n",
" <td>www.bitchute.com</td>\n",
" <td>6.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>7</td>\n",
" <td>29</td>\n",
" <td>www.youtube.com</td>\n",
" <td>24.0</td>\n",
" <td>www.reviewjournal.com</td>\n",
" <td>7.0</td>\n",
" <td>truthfeednews.com</td>\n",
" <td>7.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>34</td>\n",
" <td>9</td>\n",
" <td>www.c-span.org</td>\n",
" <td>22.0</td>\n",
" <td>dailycaller.com</td>\n",
" <td>11.0</td>\n",
" <td>www.gofundme.com</td>\n",
" <td>11.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>15</td>\n",
" <td>175</td>\n",
" <td>www.reviewjournal.com</td>\n",
" <td>21.0</td>\n",
" <td>lvrj.com</td>\n",
" <td>18.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>7.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>16</td>\n",
" <td>61</td>\n",
" <td>www.youtube.com</td>\n",
" <td>20.0</td>\n",
" <td>www.infowars.com</td>\n",
" <td>3.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>24</td>\n",
" <td>54</td>\n",
" <td>www.youtube.com</td>\n",
" <td>20.0</td>\n",
" <td>legalinsurrection.com</td>\n",
" <td>11.0</td>\n",
" <td>www.nationalreview.com</td>\n",
" <td>6.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>29</td>\n",
" <td>5</td>\n",
" <td>www.newsmaxtv.com</td>\n",
" <td>20.0</td>\n",
" <td>nypost.com</td>\n",
" <td>20.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>36</td>\n",
" <td>10</td>\n",
" <td>www.ksl.com</td>\n",
" <td>20.0</td>\n",
" <td>www.intellihub.com</td>\n",
" <td>10.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>10.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2</td>\n",
" <td>187</td>\n",
" <td>www.youtube.com</td>\n",
" <td>18.0</td>\n",
" <td>www.foxnews.com</td>\n",
" <td>5.0</td>\n",
" <td>www.reviewjournal.com</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>8</td>\n",
" <td>17</td>\n",
" <td>truthfeednews.com</td>\n",
" <td>18.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>18.0</td>\n",
" <td>freedomdaily.com</td>\n",
" <td>12.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>31</td>\n",
" <td>6</td>\n",
" <td>www.fox5atlanta.com</td>\n",
" <td>17.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>41</td>\n",
" <td>6</td>\n",
" <td>www1.cbn.com</td>\n",
" <td>17.0</td>\n",
" <td>campaign.r20.constantcontact.com</td>\n",
" <td>17.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>17.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>23</td>\n",
" <td>37</td>\n",
" <td>lasvegassun.com</td>\n",
" <td>16.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>11.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>11.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>20</td>\n",
" <td>100</td>\n",
" <td>www.usatoday.com</td>\n",
" <td>15.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>5.0</td>\n",
" <td>www.reviewjournal.com</td>\n",
" <td>4.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>33</td>\n",
" <td>13</td>\n",
" <td>www.youtube.com</td>\n",
" <td>15.0</td>\n",
" <td>dennismichaellynch.com</td>\n",
" <td>8.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>8.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>35</td>\n",
" <td>7</td>\n",
" <td>www.politico.com</td>\n",
" <td>14.0</td>\n",
" <td>news.wgbh.org</td>\n",
" <td>14.0</td>\n",
" <td>itunes.apple.com</td>\n",
" <td>14.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>10</td>\n",
" <td>69</td>\n",
" <td>abc7.com</td>\n",
" <td>13.0</td>\n",
" <td>losangeles.cbslocal.com</td>\n",
" <td>7.0</td>\n",
" <td>www.gofundme.com</td>\n",
" <td>6.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>26</td>\n",
" <td>17</td>\n",
" <td>www.news1130.com</td>\n",
" <td>12.0</td>\n",
" <td>worldview.stratfor.com</td>\n",
" <td>6.0</td>\n",
" <td>www.kvue.com</td>\n",
" <td>6.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>19</td>\n",
" <td>66</td>\n",
" <td>www.pscp.tv</td>\n",
" <td>11.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>9.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>6.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>14</td>\n",
" <td>29</td>\n",
" <td>thehill.com</td>\n",
" <td>10.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>10.0</td>\n",
" <td>www.newsweek.com</td>\n",
" <td>7.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>11</td>\n",
" <td>435</td>\n",
" <td>www.youtube.com</td>\n",
" <td>9.0</td>\n",
" <td>www.pscp.tv</td>\n",
" <td>4.0</td>\n",
" <td>www.foxnews.com</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>18</td>\n",
" <td>101</td>\n",
" <td>www.youtube.com</td>\n",
" <td>8.0</td>\n",
" <td>variety.com</td>\n",
" <td>4.0</td>\n",
" <td>www.snappytv.com</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>30</td>\n",
" <td>24</td>\n",
" <td>www.youtube.com</td>\n",
" <td>8.0</td>\n",
" <td>www.tennessean.com</td>\n",
" <td>8.0</td>\n",
" <td>www.jacksonsun.com</td>\n",
" <td>4.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>4</td>\n",
" <td>469</td>\n",
" <td>edition.cnn.com</td>\n",
" <td>7.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>4.0</td>\n",
" <td>www.nbcnews.com</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>22</td>\n",
" <td>68</td>\n",
" <td>www.foxnews.com</td>\n",
" <td>7.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>6.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>4.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>25</td>\n",
" <td>14</td>\n",
" <td>globalnews.ca</td>\n",
" <td>7.0</td>\n",
" <td>international.la-croix.com</td>\n",
" <td>7.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>37</td>\n",
" <td>15</td>\n",
" <td>www.ajc.com</td>\n",
" <td>7.0</td>\n",
" <td>therivardreport.com</td>\n",
" <td>7.0</td>\n",
" <td>www.salon.com</td>\n",
" <td>7.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>9</td>\n",
" <td>111</td>\n",
" <td>www.youtube.com</td>\n",
" <td>5.0</td>\n",
" <td>www.nytimes.com</td>\n",
" <td>4.0</td>\n",
" <td>www.washingtonpost.com</td>\n",
" <td>4.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>12</td>\n",
" <td>186</td>\n",
" <td>www.youtube.com</td>\n",
" <td>5.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>5.0</td>\n",
" <td>www.nytimes.com</td>\n",
" <td>4.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>13</td>\n",
" <td>276</td>\n",
" <td>www.youtube.com</td>\n",
" <td>5.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>5.0</td>\n",
" <td>www.pscp.tv</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>17</td>\n",
" <td>111</td>\n",
" <td>www.iol.co.za</td>\n",
" <td>5.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>3.0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Community No Community Size M1 P1 \\\n",
"0 5 60 www.pscp.tv 83.0 \n",
"1 40 8 theantimedia.org 75.0 \n",
"2 32 8 www.youtube.com 50.0 \n",
"3 6 86 www.intellihub.com 41.0 \n",
"4 3 368 www.youtube.com 37.0 \n",
"5 1 482 www.youtube.com 34.0 \n",
"6 21 6 boston25.com 33.0 \n",
"7 27 6 soundcloud.com 33.0 \n",
"8 28 6 www.cbc.ca 33.0 \n",
"9 39 9 www.youtube.com 33.0 \n",
"10 38 7 wjla.com 29.0 \n",
"11 0 79 www.youtube.com 24.0 \n",
"12 7 29 www.youtube.com 24.0 \n",
"13 34 9 www.c-span.org 22.0 \n",
"14 15 175 www.reviewjournal.com 21.0 \n",
"15 16 61 www.youtube.com 20.0 \n",
"16 24 54 www.youtube.com 20.0 \n",
"17 29 5 www.newsmaxtv.com 20.0 \n",
"18 36 10 www.ksl.com 20.0 \n",
"19 2 187 www.youtube.com 18.0 \n",
"20 8 17 truthfeednews.com 18.0 \n",
"21 31 6 www.fox5atlanta.com 17.0 \n",
"22 41 6 www1.cbn.com 17.0 \n",
"23 23 37 lasvegassun.com 16.0 \n",
"24 20 100 www.usatoday.com 15.0 \n",
"25 33 13 www.youtube.com 15.0 \n",
"26 35 7 www.politico.com 14.0 \n",
"27 10 69 abc7.com 13.0 \n",
"28 26 17 www.news1130.com 12.0 \n",
"29 19 66 www.pscp.tv 11.0 \n",
"30 14 29 thehill.com 10.0 \n",
"31 11 435 www.youtube.com 9.0 \n",
"32 18 101 www.youtube.com 8.0 \n",
"33 30 24 www.youtube.com 8.0 \n",
"34 4 469 edition.cnn.com 7.0 \n",
"35 22 68 www.foxnews.com 7.0 \n",
"36 25 14 globalnews.ca 7.0 \n",
"37 37 15 www.ajc.com 7.0 \n",
"38 9 111 www.youtube.com 5.0 \n",
"39 12 186 www.youtube.com 5.0 \n",
"40 13 276 www.youtube.com 5.0 \n",
"41 17 111 www.iol.co.za 5.0 \n",
"\n",
" M2 P2 M3 P3 \n",
"0 www.youtube.com 15.0 yournewswire.com 3.0 \n",
"1 www.youtube.com 50.0 www.presstv.com 25.0 \n",
"2 www.npr.org 13.0 www.lasvegasadvisor.com 13.0 \n",
"3 www.youtube.com 34.0 yournewswire.com 16.0 \n",
"4 www.infowars.com 5.0 www.intellihub.com 4.0 \n",
"5 www.pscp.tv 12.0 www.zerohedge.com 2.0 \n",
"6 www.latimes.com 17.0 edition.cnn.com 17.0 \n",
"7 www.thecommonsenseshow.com 17.0 gsiexchange.com 17.0 \n",
"8 www.charliedaniels.com 17.0 NaN 0.0 \n",
"9 www.thedoctorstv.com 11.0 www.c-span.org 11.0 \n",
"10 NaN 0.0 NaN 0.0 \n",
"11 www.facebook.com 8.0 www.bitchute.com 6.0 \n",
"12 www.reviewjournal.com 7.0 truthfeednews.com 7.0 \n",
"13 dailycaller.com 11.0 www.gofundme.com 11.0 \n",
"14 lvrj.com 18.0 www.youtube.com 7.0 \n",
"15 www.infowars.com 3.0 www.facebook.com 3.0 \n",
"16 legalinsurrection.com 11.0 www.nationalreview.com 6.0 \n",
"17 nypost.com 20.0 NaN 0.0 \n",
"18 www.intellihub.com 10.0 www.facebook.com 10.0 \n",
"19 www.foxnews.com 5.0 www.reviewjournal.com 3.0 \n",
"20 www.youtube.com 18.0 freedomdaily.com 12.0 \n",
"21 NaN 0.0 NaN 0.0 \n",
"22 campaign.r20.constantcontact.com 17.0 www.youtube.com 17.0 \n",
"23 www.youtube.com 11.0 www.facebook.com 11.0 \n",
"24 www.youtube.com 5.0 www.reviewjournal.com 4.0 \n",
"25 dennismichaellynch.com 8.0 www.facebook.com 8.0 \n",
"26 news.wgbh.org 14.0 itunes.apple.com 14.0 \n",
"27 losangeles.cbslocal.com 7.0 www.gofundme.com 6.0 \n",
"28 worldview.stratfor.com 6.0 www.kvue.com 6.0 \n",
"29 www.facebook.com 9.0 www.youtube.com 6.0 \n",
"30 www.facebook.com 10.0 www.newsweek.com 7.0 \n",
"31 www.pscp.tv 4.0 www.foxnews.com 3.0 \n",
"32 variety.com 4.0 www.snappytv.com 3.0 \n",
"33 www.tennessean.com 8.0 www.jacksonsun.com 4.0 \n",
"34 www.youtube.com 4.0 www.nbcnews.com 1.0 \n",
"35 www.facebook.com 6.0 www.youtube.com 4.0 \n",
"36 international.la-croix.com 7.0 NaN 0.0 \n",
"37 therivardreport.com 7.0 www.salon.com 7.0 \n",
"38 www.nytimes.com 4.0 www.washingtonpost.com 4.0 \n",
"39 www.facebook.com 5.0 www.nytimes.com 4.0 \n",
"40 www.facebook.com 5.0 www.pscp.tv 3.0 \n",
"41 www.facebook.com 3.0 www.youtube.com 3.0 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Get the most commonly cited website\n",
"def getMostCommonWebsite3(partition, userCited):\n",
" inv = inverse_partition(partition)\n",
" out = dict()\n",
" for com in inv:\n",
" l = []\n",
" for user in inv[com]:\n",
" l+= list(set(userCited[user]))#Add all the citations only ONCE to a list in this community\n",
" c = Counter(l)\n",
" mostFreqSites = sorted(set(l), key=l.count,reverse = True)[:3]\n",
" percentage = dict()\n",
" for i in mostFreqSites:\n",
" percentage[i] = round(float(c[i]) / len(inv[com]) * 100)\n",
" while len(mostFreqSites)<3:\n",
" mostFreqSites.append('NaN')\n",
" percentage['NaN'] = 0\n",
" out[com] = (mostFreqSites, percentage)\n",
" return out\n",
"\n",
"\n",
"def showIt(partition):\n",
" columns = ['Community No','Community Size', 'M1', 'P1','M2','P2','M3','P3']\n",
" inv = inverse_partition(partition)\n",
" data = []\n",
" top3_websites = getMostCommonWebsite3(partition,userCited)\n",
" for part_id in inv:\n",
" mostFreqSites = top3_websites[part_id][0]\n",
" percentage = top3_websites[part_id][1]\n",
" row = {\n",
" 'Community No':part_id,\n",
" 'Community Size': len(inv[part_id]),\n",
" 'M1': mostFreqSites[0],\n",
" 'P1': percentage[mostFreqSites[0]],\n",
" 'M2': mostFreqSites[1],\n",
" 'P2': percentage[mostFreqSites[1]],\n",
" 'M3': mostFreqSites[2],\n",
" 'P3': percentage[mostFreqSites[2]]\n",
" }\n",
" data.append(row)\n",
" \n",
" data.sort(key=lambda row: row['P1'], reverse=True)\n",
" df = pd.DataFrame(data)\n",
" df = df[columns]\n",
" display(df)\n",
"showIt(partition_mention)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here the percentages are percentage of the users who cited the website at least ones. So the for the community 40, (second line), 75.0% of the users cited theantimedia.org, 50% cited youtube.com."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"When we think both table above we see some interesting results:\n",
"\n",
"\n",
"+ Especially when people are spreading rumors, they tend to share videos. For example, for this event people generally claim that there was multiple shooter and they share videos related to this claim. We can see this in lines 1 and 3 (community no 40 and 6). Most of the users who shared news from alternative media are sharing videos from youtube. \n",
"\n",
"+ There might be a relationship between 'www.intellihub.com', 'yournewswire.com'. (Actually we saw that both are alternative media)\n",
"\n",
"+ In the line forteen we can see that there is a relation between sites, www.reviewjournal.com \tand lvrj.com. This is actually true since both of them are local media of Las Vegas. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"An interesting way to analyze communities is to find which hashtags they tend to use. For example if a community tends to use '#guncontrol' hashtag we can infer that there is a relation with this community and the gun laws."
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAbMAAAMWCAYAAAB7o2jzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n0WE7pRwAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcdd7fe5150>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.style\n",
"import matplotlib as mpl\n",
"mpl.style.use('classic')\n",
"\n",
"def partition_hashtag_analysis(partition):\n",
" # inverse the partitioning to get a dict with { partitioning_id : [usernames]}\n",
" components_inv = inverse_partition(partition)\n",
" # get all hashtags used by users in combination with our query_hashtags\n",
" components_hashtags = defaultdict(list)\n",
" for part_id, usernames in components_inv.iteritems():\n",
" tweets = tweet_collection.find({\n",
" 'username': {\n",
" '$in': usernames\n",
" }, \n",
" 'hashtags': {\n",
" '$ne': [], \n",
" '$nin': map(lambda s: '#' + s, query_hashtags)\n",
" },\n",
" },\n",
" {\n",
" 'hashtags': 1\n",
" })\n",
" \n",
" # filter query hashtags hashtags \n",
" for row in tweets:\n",
" tags = [tag.replace('#', '') for tag in row['hashtags'] if tag not in query_hashtags]\n",
" components_hashtags[part_id] += tags\n",
"\n",
" part_tag_counts = {}\n",
" for part_id, tags in components_hashtags.iteritems():\n",
" counts = Counter(tags)\n",
" part_tag_counts[part_id] = counts\n",
" return part_tag_counts\n",
"\n",
"mention_com_hashtags = partition_hashtag_analysis(partition_mention)\n",
"\n",
"# Heatmap\n",
"# get most common hashtags in general\n",
"number_of_tags = 20\n",
"hashtags_count = Counter([tags for part_id in mention_com_hashtags.itervalues() for tags in part_id])\n",
"most_common_tags = map(lambda tup: str(tup[0]), hashtags_count.most_common(number_of_tags))\n",
"\n",
"# create a matrix of the count of use of the most commn hashatgs in the communities\n",
"heat_array = np.array([[counts[tag] for tag in most_common_tags] for counts in mention_com_hashtags.values()])\n",
"\n",
"\n",
"# plot heatmap\n",
"fig = plt.figure(figsize=(10, 10))\n",
"plt.imshow(heat_array, interpolation='nearest')\n",
"plt.xticks(range(number_of_tags), most_common_tags, rotation='vertical')\n",
"plt.yticks(range(heat_array.shape[0]), mention_com_hashtags.keys())\n",
"# ax.set_facecolor('white')\n",
"plt.colorbar()\n",
"plt.clim(100,300)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The *heatmap* above displays how often the most common hashtags appear in every community. The brighter the color, the more prevalent that hashtag is in the tweets from that community and by extension from the users. This gives us an idea about the ideas or opinions of these users. The data is a little sparse for most communities since they are small and there are not that many hashtags, but we can see some interesting patterns emerge in the ones that do have data.\n",
"\n",
"+ The most interesting fact we see is that there is a strong correlation betweent the community 1 and the community 3. Actually those communities are the alternative media communities (AntiMedia and IntelliHub communities)\n",
"\n",
"+ Only communities 0,1,3 are using falseflag. This shows that alternative media tend to spread the news that the event was fake.\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"mentionGraph\"></a>\n",
"## 2.2 Hashtag Graph\n",
"\n",
"Another interesting graph is hashtag graph. For this second network, *nodes* are still the users. There is an edge between two node if they had ever used same hashtag for more than a limit. Here we have chosen this limit to be 10. Thus if two users have more than 10 tweets under a hashtag there will be an edge between them."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's create the graph."
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of nodes in hashtag_graph 90721\n"
]
}
],
"source": [
"usernames = tweet_collection.distinct('username')\n",
"# create two separate graphs for mention relations and hashtags, one simple, one multi\n",
"hashtag_graph = nx.MultiGraph()\n",
"\n",
"# add nodes from users that wrote tweets\n",
"hashtag_graph.add_nodes_from(usernames)\n",
"\n",
"print 'Number of nodes in hashtag_graph', len(hashtag_graph.nodes())\n",
"\n",
"# add edges to the hashtag_graph\n",
"# get all tweets with hashtags\n",
"tweet_hashtags = tweet_collection.find({'entities.hashtags': {'$ne': []}}, {'username': 1, 'hashtags': 1})\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's have collection showing which user used which hashtag (of course we are eliminating the hashtag we queried to get the data)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# intialize a defaultdict to track the unique hashtags \n",
"# and how often users are using them\n",
"hashtags_dict = defaultdict(lambda: defaultdict(int))\n",
"\n",
"# populate the dict {hashtags: set(usernames)}\n",
"for tweet in tweet_hashtags:\n",
" username = tweet['username']\n",
" # list of hashtags\n",
" hashtags = map(lambda tag: tag.replace('#', '').lower(), tweet['hashtags'])\n",
" # remove the query_hashtags\n",
" new_tags = list(set(set(hashtags) - set(query_hashtags)))\n",
" if len(new_tags) > 0:\n",
" for tag in new_tags:\n",
" if tag:\n",
" hashtags_dict[tag][username] += 1\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Get the edges. If two user have more than 10 tweets under same hash than there is a link between them"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of edges in hashtag_graph 1453345\n"
]
}
],
"source": [
"i = 0 \n",
"# add edges between all users with same hashtag if they have used it more than once\n",
"for tag, userdict in hashtags_dict.iteritems():\n",
" # find users who used the tag more than once\n",
" usernames = [username for username, count in userdict.iteritems() if count >= 10]\n",
" # create tuples of possible combinations of nodes\n",
" sets = combinations(usernames, 2)\n",
" # add edges\n",
"\n",
" for combi in sets: \n",
" hashtag_graph.add_edge(*combi, atrr=tag)\n",
"print 'Number of edges in hashtag_graph', len(hashtag_graph.edges())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2.1.1 Basic stats on Hashtag Graph\n",
"### Degree distribution\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Like we did before let's see some statistics about this graph."
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAokAAAEICAYAAAAz027BAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIiIiIgYKiSIiIiJioJAoIiIiIgb/A7uz/TCJM4zZAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcdcfe4b250>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use('fivethirtyeight')\n",
"\n",
"# get degree distributions\n",
"hashtag_degree = dict(nx.degree(hashtag_graph))\n",
"# get minumum and maximum degrees\n",
"min_hashtag_degree, max_hashtag_degree = min(hashtag_degree.values()), max(hashtag_degree.values())\n",
"\n",
"# plot the degree distributions\n",
"plt.figure()\n",
"plt.subplot(211)\n",
"plt.title('Hahstag graph degree distribution')\n",
"plt.xlabel('Degree')\n",
"plt.ylabel('Number of nodes')\n",
"plt.yscale('log', nonposy='clip')\n",
"_= plt.hist(sorted(hashtag_degree.values(),reverse=True), range(min_hashtag_degree, max_hashtag_degree + 1)) # degree sequence\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is rather an interesting distribution. Apparently nodes either do not have any edge or they have a lot. We can thus think that there are some arount 2000 accounts which tweets a lot on similar topics. Let's print nodes which has maximum and minimum degrees"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[(u'tiniskwerl', 1967), (u'PatJohnson_9', 1960), (u'PatJohnson_8', 1960), (u'PatJohnson_3', 1960), (u'PatJohnson_2', 1960)]\n",
"[(u'mamajazzyy', 0), (u'Fatal_Romantic', 0), (u'bayoucityy', 0), (u'Protest_Works', 0), (u'_Jlach', 0)]\n"
]
}
],
"source": [
"print sorted(hashtag_degree.items(),key = lambda x: x[1], reverse = True)[0:5]\n",
"print sorted(hashtag_degree.items(),key = lambda x: x[1], reverse = False)[0:5]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So as seen here, most of the nodes do not have any edges, thus here also we should use GCC."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### The GCC"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The hashtag graph has 89025 disconnected components\n"
]
}
],
"source": [
"# get all the separate components\n",
"components_hashtag = sorted(nx.connected_component_subgraphs(hashtag_graph), key=len, reverse=True)\n",
"# components_hashtag = pickle.load(open('comhtagponenetsHas','rb'))\n",
"print 'The hashtag graph has {0} disconnected components'.format(len(components_hashtag))\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's see the biggest subgraphs."
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1697, 1, 1, 1, 1]\n"
]
}
],
"source": [
"hashtag_component_lengths = [len(c) for c in components_hashtag]\n",
"hashtag_component_lengths = sorted(hashtag_component_lengths, reverse = True)[:5]\n",
"print hashtag_component_lengths"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So apparently there is a big graph which includes 1697 and other nodes are mostly floating. It is best to work on this graph."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In contrast to mention graph, this graph includes too many edges. Thus printing this graph is not very explanatory. So we directly go for community detection. (If we print it you will only see some black fur) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Community detection"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The GCC of the hashtag graph has 1697 nodes and 1453345 edges\n"
]
}
],
"source": [
"# get the giant connected component \n",
"hashtag_gcc = components_hashtag[0]\n",
"hashtag_degree_gcc = nx.degree(hashtag_gcc)\n",
"# number of nodes and edges\n",
"print 'The GCC of the hashtag graph has {nodes} nodes and {edges} edges'.format(nodes=len(hashtag_gcc.nodes()), edges=len(hashtag_gcc.edges()))\n"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"partition_hashtag = community.best_partition(hashtag_gcc)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So let's make the similar analyze that we did for the mention graph."
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The hashtag graph partitons with an overview of the accounts with the highest degrees\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Community No</th>\n",
" <th>Most Cited Website in Community</th>\n",
" <th>Percentage of Users who cited</th>\n",
" <th>Community Size</th>\n",
" <th>Screen Name</th>\n",
" <th>Name</th>\n",
" <th>Url</th>\n",
" <th>Location</th>\n",
" <th>Followers</th>\n",
" <th>Degree</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>www.youtube.com</td>\n",
" <td>38.461538</td>\n",
" <td>221</td>\n",
" <td>tiniskwerl</td>\n",
" <td>tiniskwerl</td>\n",
" <td></td>\n",
" <td>Northern California U.S.A.</td>\n",
" <td>1446</td>\n",
" <td>1967</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>www.youtube.com</td>\n",
" <td>29.146426</td>\n",
" <td>1441</td>\n",
" <td>GrandeFormaggio</td>\n",
" <td>GrandeFormaggio</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>908</td>\n",
" <td>1725</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>www.youtube.com</td>\n",
" <td>22.857143</td>\n",
" <td>35</td>\n",
" <td>thomasj17431826</td>\n",
" <td>Thomas J</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>3032</td>\n",
" <td>1790</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Community No Most Cited Website in Community \\\n",
"0 1 www.youtube.com \n",
"1 0 www.youtube.com \n",
"2 2 www.youtube.com \n",
"\n",
" Percentage of Users who cited Community Size Screen Name \\\n",
"0 38.461538 221 tiniskwerl \n",
"1 29.146426 1441 GrandeFormaggio \n",
"2 22.857143 35 thomasj17431826 \n",
"\n",
" Name Url Location Followers Degree \n",
"0 tiniskwerl Northern California U.S.A. 1446 1967 \n",
"1 GrandeFormaggio 908 1725 \n",
"2 Thomas J 3032 1790 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print 'The hashtag graph partitons with an overview of the accounts with the highest degrees'\n",
"pprint_partition_overview(partition_hashtag, hashtag_degree_gcc,userCited)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So only 3 community exists in this graph. So to further analyze this graph let's see 3 most cited web pages here"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Community No</th>\n",
" <th>Community Size</th>\n",
" <th>M1</th>\n",
" <th>P1</th>\n",
" <th>M2</th>\n",
" <th>P2</th>\n",
" <th>M3</th>\n",
" <th>P3</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>221</td>\n",
" <td>www.youtube.com</td>\n",
" <td>38.0</td>\n",
" <td>abcnews.go.com</td>\n",
" <td>8.0</td>\n",
" <td>www.foxnews.com</td>\n",
" <td>7.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>1441</td>\n",
" <td>www.youtube.com</td>\n",
" <td>29.0</td>\n",
" <td>www.foxnews.com</td>\n",
" <td>6.0</td>\n",
" <td>www.facebook.com</td>\n",
" <td>4.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>35</td>\n",
" <td>www.youtube.com</td>\n",
" <td>23.0</td>\n",
" <td>www.washingtonpost.com</td>\n",
" <td>11.0</td>\n",
" <td>www.dailymail.co.uk</td>\n",
" <td>11.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Community No Community Size M1 P1 \\\n",
"0 1 221 www.youtube.com 38.0 \n",
"1 0 1441 www.youtube.com 29.0 \n",
"2 2 35 www.youtube.com 23.0 \n",
"\n",
" M2 P2 M3 P3 \n",
"0 abcnews.go.com 8.0 www.foxnews.com 7.0 \n",
"1 www.foxnews.com 6.0 www.facebook.com 4.0 \n",
"2 www.washingtonpost.com 11.0 www.dailymail.co.uk 11.0 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"showIt(partition_hashtag)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Apparently this graph gives less insight to analyze our data."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"infoGraph\"></a>\n",
"## Source of Information Graph"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The last graph that we think is interesting, shows the relation between sources of information. Here, the nodes are websites. There will be an edge between two nodes if the same user cited from both sites. Previously we had already collected data for this part. So let's remember some numbers and built the graph."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's create the graph"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"There are 37077 citation in the total 169913 tweet\n",
"There are 4730 different source of information that users cite\n"
]
}
],
"source": [
"print 'There are {} citation in the total {} tweet'.format(len(allCitedWebsite), len(allTweets))\n",
"print 'There are {} different source of information that users cite'.format(len(set(allCitedWebsite)))"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The information sources graph has 4730 nodes\n",
"The information sources graph has 15234 edges\n"
]
}
],
"source": [
"infoSource_graph = nx.Graph()\n",
"\n",
"# add nodes\n",
"infoSource_graph.add_nodes_from(set(allCitedWebsite))\n",
"\n",
"for user in userCited:\n",
" citedByUser = list(set(userCited[user]))\n",
" sets = combinations(citedByUser, 2)\n",
" # add edges\n",
" for combi in sets: \n",
" infoSource_graph.add_edge(*combi)\n",
"print 'The information sources graph has {} nodes'.format(len(infoSource_graph.nodes()))\n",
"print 'The information sources graph has {} edges'.format(len(infoSource_graph.edges()))\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's draw the graph"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAnMAAAHJCAYAAADuCb+AAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nZl
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment