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docs: Cookbook — 10 practical graph analysis recipes - #81
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New docs/cookbook.html with step-by-step examples for common tasks: 1. Generate synthetic graphs (scale-free, small-world, complete, grid) 2. Find influential nodes (degree, betweenness, closeness centrality) 3. Detect communities (connected components + Louvain modularity) 4. Find shortest paths (BFS unweighted) 5. Export to GraphML/GEXF/DOT/JSON for Gephi/Graphviz/D3 6. Test network resilience (articulation points, targeted attack sim) 7. Detect anomalous nodes (degree outliers, bridge nodes) 8. Compare graph snapshots (diff + Jaccard similarity) 9. Run PageRank with configurable damping/convergence 10. Full analysis pipeline combining multiple analyzers Each recipe includes: difficulty tag, required classes, runnable code, expected output, and tips/notes. Added Cookbook link to sidebar nav across all 5 existing doc pages.
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Cookbook page with 10 step-by-step recipes: generate graphs, find influencers (centrality), detect communities (Louvain), shortest paths, export (GraphML/GEXF/DOT/JSON), resilience testing, anomaly detection, graph comparison, PageRank, full pipeline. Difficulty tags, code examples, expected output, tips. Cookbook link added to sidebar nav on all 5 doc pages.