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Note

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

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networkx.algorithms.approximation.clustering_coefficient.average_clustering

average_clustering(G, trials=1000, seed=None)[source]

Estimates the average clustering coefficient of G.

The local clustering of each node in G is the fraction of triangles that actually exist over all possible triangles in its neighborhood. The average clustering coefficient of a graph G is the mean of local clusterings.

This function finds an approximate average clustering coefficient for G by repeating n times (defined in trials) the following experiment: choose a node at random, choose two of its neighbors at random, and check if they are connected. The approximate coefficient is the fraction of triangles found over the number of trials 1.

Parameters

  • G (NetworkX graph)

  • trials (integer) – Number of trials to perform (default 1000).

  • seed (integer, random_state, or None (default)) – Indicator of random number generation state. See Randomness.

Returns

c – Approximated average clustering coefficient.

Return type

float

References

1

Schank, Thomas, and Dorothea Wagner. Approximating clustering coefficient and transitivity. Universität Karlsruhe, Fakultät für Informatik, 2004. http://www.emis.ams.org/journals/JGAA/accepted/2005/SchankWagner2005.9.2.pdf