Algorithms to characterize the number of triangles in a graph.

triangles(G[, nodes])

Compute the number of triangles.


Compute graph transitivity, the fraction of all possible triangles present in G.

clustering(G[, nodes, weight])

Compute the clustering coefficient for nodes.

average_clustering(G[, nodes, weight, ...])

Compute the average clustering coefficient for the graph G.

square_clustering(G[, nodes])

Compute the squares clustering coefficient for nodes.

generalized_degree(G[, nodes])

Compute the generalized degree for nodes.