exercise_41_3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def net_distance(G1, G2):\n",
    "   d = 0\n",
    "   for n in G1.nodes:\n",
    "      neighbors1 = set(G1.neighbors(n))\n",
    "      neighbors2 = set(G2.neighbors(n))\n",
    "      d += len(neighbors1 - neighbors2) + len(neighbors2 - neighbors1)\n",
    "   return d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "G1 = nx.read_edgelist(\"1/data1.txt\", delimiter = \"\\t\", nodetype = int)\n",
    "G2 = nx.read_edgelist(\"1/data2.txt\", delimiter = \"\\t\", nodetype = int)\n",
    "G3 = nx.read_edgelist(\"1/data3.txt\", delimiter = \"\\t\", nodetype = int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "G1-G2 difference: 1434\n",
      "G1-G3 difference: 1414\n",
      "G2-G3 difference: 1444\n"
     ]
    }
   ],
   "source": [
    "print(\"G1-G2 difference: %s\" % net_distance(G1, G2))\n",
    "print(\"G1-G3 difference: %s\" % net_distance(G1, G3))\n",
    "print(\"G2-G3 difference: %s\" % net_distance(G2, G3))"
   ]
  }
 ],
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