Content: Basic graph theoretic concepts; Incidence and adjacency matrices; 2-mode vs. 1-mode; Paths and walks; Length and distance; Components; Cutpoint and bridge; Characterizing Networks; Density and mean degree; Connectedness and average distance; Clustering coefficient; Centralization; Degree centrality; Closeness centrality; Betweenness centrality; Eigenvector centrality