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This lecture by the instructor covers the statistical analysis of network data, focusing on graph structures, network models, and network statistics. Topics include graph properties, network models like the stochastic block model, and statistical measures such as centrality and modularity. The lecture also delves into network sampling methods and additional topics like multilayer networks and link prediction.