Lecture
This lecture covers the fundamentals of handling networks, focusing on graph theory concepts such as nodes, edges, degree centrality, types of graphs, and real-world network properties like sparsity, degree distribution, and community structure. It also delves into centrality measures like degree, closeness, betweenness, Katz, and PageRank centrality, emphasizing their importance in understanding network structures and identifying key nodes.