Lectures related to Community structure

Explains IP addressing, routing, and TCP packet meta-data, along with practical routing table considerations.

Explores graph theory concepts, centrality measures, and real-world network properties, providing insights into handling diverse types of networks.

Delves into detecting communities in random graphs, exploring fundamental laws, phase transitions, and spectral algorithms.

Explores clustering, community detection, K-means, GMM, modularity, and the Louvain method.

Explores graph mining in social networks, covering data analysis and community detection.