This course covers various concepts, theories, methods, and applications of Social Network Analysis. The topics include social network data collection and representations, graph-theoretic fundamentals including centrality, prestige, cohesion, subgroups, and structural equivalence, statistical analysis of relational networks, dynamic network analysis, and applications of social network analysis. Prerequisite: Graduate Standing. (F;S;SS)