Modularity: Community Detection Algorithms

This lecture covers the Louvain Modularity Algorithm, which is based on optimizing community quality through modularity. It explains how to measure community quality, the expected number of edges, and the properties of modularity. The instructor demonstrates how to locally optimize communities and provides examples of processing nodes and merging communities. The lecture concludes with a discussion on the Louvain Modularity Algorithm's applications in social network analysis, highlighting its efficiency in extracting communities from large networks.