networkx.watts_strogatz_graph¶

networkx.watts_strogatz_graph(n, k, p, seed=None)[source]¶

Return a Watts–Strogatz small-world graph.

Parameters:	n : int The number of nodes k : int Each node is joined with its k nearest neighbors in a ring topology. p : float The probability of rewiring each edge seed : int, optional Seed for random number generator (default=None)

See also

newman_watts_strogatz_graph, connected_watts_strogatz_graph

Notes

First create a ring over n nodes. Then each node in the ring is joined to its k nearest neighbors (or k - 1 neighbors if k is odd). Then shortcuts are created by replacing some edges as follows: for each edge (u, v) in the underlying “n-ring with k nearest neighbors” with probability \(p\) replace it with a new edge (u, w) with uniformly random choice of existing node w.

In contrast with newman_watts_strogatz_graph(), the random rewiring does not increase the number of edges. The rewired graph is not guaranteed to be connected as in connected_watts_strogatz_graph().

References

[R1336]

Duncan J. Watts and Steven H. Strogatz, Collective dynamics of small-world networks, Nature, 393, pp. 440–442, 1998.