Lectures related to Betweenness centrality

Explores graph statistics, random graph generation, network analysis, centrality measures, and clustering coefficients.

Explores network analysis methods, operationalizing concepts, historical applications, and challenges in treating time within networks.

Explores graph mining in social networks, covering modularity algorithms and community detection.

Covers nonparametric network summaries, centrality measures, network modularity, and clustering coefficients.

Explores statistical analysis of network data, covering graph structures, models, statistics, and sampling methods.

Covers classical models of epidemic spreading and dynamics on networks with examples.