networkx.algorithms.cluster.triangles¶
-
triangles
(G, nodes=None)[source]¶ Compute the number of triangles.
Finds the number of triangles that include a node as one vertex.
- Parameters
G (graph) – A networkx graph
nodes (container of nodes, optional (default= all nodes in G)) – Compute triangles for nodes in this container.
- Returns
out – Number of triangles keyed by node label.
- Return type
dictionary
Examples
>>> G = nx.complete_graph(5) >>> print(nx.triangles(G, 0)) 6 >>> print(nx.triangles(G)) {0: 6, 1: 6, 2: 6, 3: 6, 4: 6} >>> print(list(nx.triangles(G, (0, 1)).values())) [6, 6]
Notes
When computing triangles for the entire graph each triangle is counted three times, once at each node. Self loops are ignored.