{ "cells": [ { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "import warnings\n", "from pprint import pprint\n", "\n", "import matplotlib.pyplot as plt\n", "import networkx as nx\n", "import seaborn as sns\n", "\n", "from data import load_nx_karate_club_graph\n", "from graphrole import RecursiveFeatureExtractor, RoleExtractor" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# This example notebook demonstrates GraphRole's main functionality. It matches the examples.py script.\n", "# \n", "# Notes:\n", "# - The example workflow was built prior to GraphRole's ability to use edge weights in its feature calculations.\n", "# To keep consistent results, the example graph is loaded without edge weights. To include edge weights\n", "# when loading the graph, change the weighted kwarg to True. GraphRole will automatically include\n", "# these weights in its feature calculations and results will therefore differ from below.\n", "# \n", "# - The role calculations are slightly sensitive to the versions of scipy and scikit-learn used\n", "# for matrix factorization (NMF) and clustering (K-Means). The results below are obtained using\n", "# scipy==1.10.1 and scikit-learn==1.2.2, matching the original implementation of GraphRole. More\n", "# granular insight into previous version requirements can be found in the git history of\n", "# GraphRole's requirements.txt file." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# load the well known karate_club_graph from Networkx\n", "G = load_nx_karate_club_graph(weighted=False)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Features extracted from 3 recursive generations:\n", " external_edges(mean)(mean) degree(mean) degree(sum) \\\n", "0 19.637500 4.312500 69.0 \n", "1 22.422685 5.777778 52.0 \n", "2 25.537083 6.600000 66.0 \n", "3 23.717361 7.666667 46.0 \n", "4 17.979167 7.666667 23.0 \n", "5 17.234375 6.250000 25.0 \n", "6 17.234375 6.250000 25.0 \n", "7 26.342708 10.250000 41.0 \n", "8 27.214363 11.800000 59.0 \n", "9 28.108824 13.500000 27.0 \n", "10 17.979167 7.666667 23.0 \n", "11 24.937500 16.000000 16.0 \n", "12 25.302083 11.000000 22.0 \n", "13 26.897696 11.600000 58.0 \n", "14 29.017157 14.500000 29.0 \n", "15 29.017157 14.500000 29.0 \n", "16 13.000000 4.000000 8.0 \n", "17 26.302083 12.500000 25.0 \n", "18 29.017157 14.500000 29.0 \n", "19 27.240605 14.000000 42.0 \n", "20 29.017157 14.500000 29.0 \n", "21 26.302083 12.500000 25.0 \n", "22 29.017157 14.500000 29.0 \n", "23 25.340196 8.000000 40.0 \n", "24 21.527778 4.333333 13.0 \n", "25 21.477778 4.666667 14.0 \n", "26 25.183824 10.500000 21.0 \n", "27 25.871078 8.750000 35.0 \n", "28 24.461438 11.000000 33.0 \n", "29 24.908578 9.000000 36.0 \n", "30 27.675245 10.750000 43.0 \n", "31 27.773080 9.000000 54.0 \n", "32 22.394526 5.083333 61.0 \n", "33 22.418627 3.823529 65.0 \n", "\n", " external_edges(mean) degree internal_edges external_edges \n", "0 24.937500 16 34 17 \n", "1 27.666667 9 21 19 \n", "2 27.100000 10 21 34 \n", "3 25.666667 6 16 20 \n", "4 16.000000 3 5 16 \n", "5 13.000000 4 7 15 \n", "6 13.000000 4 7 15 \n", "7 22.500000 4 10 25 \n", "8 25.000000 5 10 44 \n", "9 26.000000 2 2 25 \n", "10 16.000000 3 5 16 \n", "11 17.000000 1 1 15 \n", "12 18.500000 2 3 18 \n", "13 21.600000 5 11 41 \n", "14 20.500000 2 3 25 \n", "15 20.500000 2 3 25 \n", "16 15.000000 2 3 4 \n", "17 18.000000 2 3 21 \n", "18 20.500000 2 3 25 \n", "19 18.000000 3 4 37 \n", "20 20.500000 2 3 25 \n", "21 18.000000 2 3 21 \n", "22 20.500000 2 3 25 \n", "23 20.600000 5 9 27 \n", "24 26.666667 3 4 8 \n", "25 25.666667 3 4 9 \n", "26 21.000000 2 3 17 \n", "27 21.750000 4 5 29 \n", "28 31.333333 3 4 28 \n", "29 21.250000 4 8 24 \n", "30 26.000000 4 7 33 \n", "31 17.166667 6 9 42 \n", "32 28.916667 12 25 23 \n", "33 29.117647 17 32 18 \n" ] } ], "source": [ "# extract features\n", "feature_extractor = RecursiveFeatureExtractor(G)\n", "features = feature_extractor.extract_features()\n", "\n", "print(f'\\nFeatures extracted from {feature_extractor.generation_count} recursive generations:')\n", "print(features)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Node role assignments:\n", "{0: 'role_3',\n", " 1: 'role_6',\n", " 2: 'role_6',\n", " 3: 'role_6',\n", " 4: 'role_1',\n", " 5: 'role_0',\n", " 6: 'role_0',\n", " 7: 'role_1',\n", " 8: 'role_2',\n", " 9: 'role_1',\n", " 10: 'role_1',\n", " 11: 'role_1',\n", " 12: 'role_1',\n", " 13: 'role_2',\n", " 14: 'role_1',\n", " 15: 'role_1',\n", " 16: 'role_4',\n", " 17: 'role_1',\n", " 18: 'role_1',\n", " 19: 'role_1',\n", " 20: 'role_1',\n", " 21: 'role_1',\n", " 22: 'role_1',\n", " 23: 'role_2',\n", " 24: 'role_4',\n", " 25: 'role_4',\n", " 26: 'role_1',\n", " 27: 'role_2',\n", " 28: 'role_1',\n", " 29: 'role_1',\n", " 30: 'role_1',\n", " 31: 'role_2',\n", " 32: 'role_6',\n", " 33: 'role_3'}\n", "\n", "Node role membership by percentage:\n", " role_0 role_1 role_2 role_3 role_4 role_5 role_6\n", "0 0.10 0.02 0.02 0.42 0.02 0.02 0.42\n", "1 0.12 0.02 0.02 0.02 0.02 0.28 0.52\n", "2 0.09 0.02 0.22 0.02 0.02 0.22 0.41\n", "3 0.12 0.02 0.02 0.02 0.02 0.28 0.52\n", "4 0.17 0.40 0.03 0.17 0.03 0.03 0.17\n", "5 0.27 0.27 0.05 0.27 0.05 0.05 0.05\n", "6 0.27 0.27 0.05 0.27 0.05 0.05 0.05\n", "7 0.12 0.29 0.02 0.12 0.02 0.29 0.12\n", "8 0.02 0.02 0.47 0.02 0.11 0.11 0.25\n", "9 0.17 0.40 0.03 0.03 0.03 0.17 0.17\n", "10 0.17 0.40 0.03 0.17 0.03 0.03 0.17\n", "11 0.04 0.55 0.04 0.04 0.04 0.24 0.04\n", "12 0.03 0.42 0.03 0.03 0.03 0.42 0.03\n", "13 0.02 0.02 0.45 0.02 0.02 0.24 0.24\n", "14 0.03 0.42 0.03 0.03 0.03 0.42 0.03\n", "15 0.03 0.42 0.03 0.03 0.03 0.42 0.03\n", "16 0.06 0.06 0.06 0.06 0.34 0.06 0.34\n", "17 0.03 0.42 0.03 0.03 0.03 0.42 0.03\n", "18 0.03 0.42 0.03 0.03 0.03 0.42 0.03\n", "19 0.03 0.32 0.32 0.14 0.03 0.14 0.03\n", "20 0.03 0.42 0.03 0.03 0.03 0.42 0.03\n", "21 0.03 0.42 0.03 0.03 0.03 0.42 0.03\n", "22 0.03 0.42 0.03 0.03 0.03 0.42 0.03\n", "23 0.02 0.11 0.25 0.02 0.11 0.25 0.25\n", "24 0.04 0.20 0.04 0.04 0.46 0.04 0.20\n", "25 0.04 0.20 0.04 0.04 0.46 0.04 0.20\n", "26 0.03 0.40 0.03 0.03 0.17 0.17 0.17\n", "27 0.15 0.15 0.35 0.03 0.15 0.03 0.15\n", "28 0.14 0.32 0.14 0.03 0.03 0.03 0.32\n", "29 0.14 0.32 0.03 0.03 0.03 0.32 0.14\n", "30 0.02 0.27 0.27 0.02 0.02 0.12 0.27\n", "31 0.11 0.02 0.47 0.02 0.25 0.02 0.11\n", "32 0.28 0.02 0.02 0.12 0.02 0.02 0.52\n", "33 0.10 0.02 0.02 0.42 0.02 0.02 0.42\n" ] } ], "source": [ "# assign node roles\n", "role_extractor = RoleExtractor(n_roles=None)\n", "role_extractor.extract_role_factors(features)\n", "node_roles = role_extractor.roles\n", "\n", "print('\\nNode role assignments:')\n", "pprint(node_roles)\n", "\n", "print('\\nNode role membership by percentage:')\n", "print(role_extractor.role_percentage.round(2))" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "# build color palette for plotting\n", "unique_roles = sorted(set(node_roles.values()))\n", "color_map = sns.color_palette('Paired', n_colors=len(unique_roles))\n", "# map roles to colors\n", "role_colors = {role: color_map[i] for i, role in enumerate(unique_roles)}\n", "# build list of colors for all nodes in G\n", "node_colors = [role_colors[node_roles[node]] for node in G.nodes]" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot graph\n", "plt.figure()\n", "\n", "with warnings.catch_warnings():\n", " # catch matplotlib deprecation warning\n", " warnings.simplefilter('ignore')\n", " nx.draw(\n", " G,\n", " pos=nx.spring_layout(G, seed=42),\n", " with_labels=True,\n", " node_color=node_colors,\n", " )\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.11.9" } }, "nbformat": 4, "nbformat_minor": 2 }