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Network Analysis. Lecture 5. Centrality measures.
Network Analysis. Lecture 18. Link prediction.
Introduction to SNA. Lecture 2. Descriptive Network Analysis
Social Network Analysis Lecture 3. Node centrality metric and link analysis.
Network Analysis. Course introduction.
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Last Updated: September 29, 2026
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Summary
Directed graphs. PageRank, Perron-Frobenius theorem and algorithm convergence. Power iterations. Hubs and Authorites. Power law distribution. Scale-free Cohesive subgroups. Graph cliques, k-plexes, k-cores. Node centrality metrics, degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. Katz status index ...
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