Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

networkx.algorithms.cluster.transitivity

transitivity(G)[source]

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

Possible triangles are identified by the number of “triads” (two edges with a shared vertex).

The transitivity is

\[T = 3\frac{\#triangles}{\#triads}.\]
Parameters

G (graph)

Returns

out – Transitivity

Return type

float

Examples

>>> G = nx.complete_graph(5)
>>> print(nx.transitivity(G))
1.0