This lecture covers the computation of the modularity measure in a graph, focusing on community detection. It starts with an introduction to the concept of modularity and then explains how to calculate it using networkx in Python. The lecture also delves into the Girvan-Newman algorithm for computing betweenness centrality in a graph, highlighting the importance of edge flow and its impact on community detection.