exercise_39_2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "G = nx.read_edgelist(\"1/data.txt\", create_using = nx.Graph(), delimiter = \"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "M1 = nx.read_edgelist(\"1/motif1.txt\", create_using = nx.Graph(), delimiter = \"\\t\")\n",
    "M2 = nx.read_edgelist(\"1/motif2.txt\", create_using = nx.Graph(), delimiter = \"\\t\")\n",
    "M3 = nx.read_edgelist(\"1/motif3.txt\", create_using = nx.Graph(), delimiter = \"\\t\")\n",
    "M4 = nx.read_edgelist(\"1/motif4.txt\", create_using = nx.Graph(), delimiter = \"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "GM1 = nx.algorithms.isomorphism.GraphMatcher(G, M1)\n",
    "GM2 = nx.algorithms.isomorphism.GraphMatcher(G, M2)\n",
    "GM3 = nx.algorithms.isomorphism.GraphMatcher(G, M3)\n",
    "GM4 = nx.algorithms.isomorphism.GraphMatcher(G, M4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "How many times motif 1 appears in G? 1448\n",
      "How many times motif 2 appears in G? 1236\n",
      "How many times motif 3 appears in G? 2704\n",
      "How many times motif 4 appears in G? 1396\n"
     ]
    }
   ],
   "source": [
    "print(\"How many times motif 1 appears in G? %s\" % len(list(GM1.subgraph_isomorphisms_iter())))\n",
    "print(\"How many times motif 2 appears in G? %s\" % len(list(GM2.subgraph_isomorphisms_iter())))\n",
    "print(\"How many times motif 3 appears in G? %s\" % len(list(GM3.subgraph_isomorphisms_iter())))\n",
    "print(\"How many times motif 4 appears in G? %s\" % len(list(GM4.subgraph_isomorphisms_iter())))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}