This lecture covers the fundamentals of graph mining, focusing on social network analysis. Topics include data mining overview, association rule mining, modularity algorithms, community detection, and edge betweenness computation. The instructor explains the Louvain Modularity Algorithm and Girvan-Newman Algorithm, illustrating their application in identifying communities within networks.