88 lines
2.2 KiB
Plaintext
88 lines
2.2 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Séance 1 — Rappels & prise en main de NetworkX\n",
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"\n",
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"**Objectifs pédagogiques**\n",
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"- Réviser les définitions : nœuds, arêtes, graphes dirigés / non-dirigés / pondérés.\n",
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"- Prendre en main `networkx` pour créer un graphe et le visualiser.\n",
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"- Lire des mesures simples (degrés).\n",
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"\n",
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"**Consignes**\n",
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"- Exécutez cellule par cellule.\n",
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"- Commentez en 2-3 phrases ce que vous observez."
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]
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},
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{
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"cell_type": "code",
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"metadata": {},
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"execution_count": null,
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"outputs": [],
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"source": [
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"# Installation (si nécessaire) — peut être ignorée si networkx est déjà présent\n",
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"# %pip install networkx matplotlib\n",
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"\n",
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"import networkx as nx\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 1) Créer un premier graphe non dirigé"
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]
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},
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{
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"cell_type": "code",
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"metadata": {},
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"execution_count": null,
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"outputs": [],
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"source": [
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"# TODO: Compléter la liste d'arêtes pour former votre mini-réseau social\n",
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"G = nx.Graph()\n",
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"G.add_edges_from([\n",
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" (\"Alice\", \"Bob\"),\n",
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" (\"Bob\", \"Claire\"),\n",
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" (\"Alice\", \"David\"),\n",
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" # (\"Claire\", \"David\"), # décommentez pour ajouter un lien\n",
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"])\n",
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"\n",
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"print(\"Nœuds :\", list(G.nodes()))\n",
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"print(\"Arêtes:\", list(G.edges()))\n",
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"print(\"Degrés:\", dict(G.degree()))\n",
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"\n",
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"plt.figure()\n",
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"nx.draw(G, with_labels=True)\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 2) Questions\n",
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"1. Quel nœud a le plus grand degré ?\n",
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"2. Que se passe-t-il si vous ajoutez l'arête ('Claire','David') ?\n",
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"3. Donnez une interprétation sociologique rapide (qui est au centre ?)."
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"name": "python",
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"pygments_lexer": "ipython3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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