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networkx.generators.duplication.duplication_divergence_graph¶

duplication_divergence_graph(n, p, seed=None)[source]

Returns an undirected graph using the duplication-divergence model.

A graph of n nodes is created by duplicating the initial nodes and retaining edges incident to the original nodes with a retention probability p.

Parameters: n (int) – The desired number of nodes in the graph. p (float) – The probability for retaining the edge of the replicated node. seed (integer, random_state, or None (default)) – Indicator of random number generation state. See Randomness. G Graph NetworkXError – If p is not a valid probability. If n is less than 2.

Notes

This algorithm appears in [1].

This implementation disallows the possibility of generating disconnected graphs.

References

 [1] I. Ispolatov, P. L. Krapivsky, A. Yuryev, “Duplication-divergence model of protein interaction network”, Phys. Rev. E, 71, 061911, 2005.