Connected: A Social Network Analysis Tutorial with NetworkX
summary
Hands-on tutorial that codes with NetworkX in Jupyter notebooks on a real dataset: romantic ties among Grey's Anatomy characters. It builds graphs from edge lists and adjacency matrices, adds attributes, exports GEXF for Gephi, and computes degree, closeness, betweenness and eigenvector centralities plus link prediction (Jaccard, preferential attachment). The worked example has 32 nodes 34 edges (avg degree 2.12); notebooks and a runnable environment are provided and the demos execute end-to-end.
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chapters (8)
- 0:00Welcome
- 1:46Social network analysis
- 11:30Creating graphs in NetworkX
- 39:03Visualizing graphs
- 51:49Centrality in networks
- 1:13:11Link prediction
- 1:25:56Community detection
- 1:31:00Q&A
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