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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.generators.random_graphs.connected_watts_strogatz_graph¶

connected_watts_strogatz_graph(n, k, p, tries=100, seed=None)[source]¶

Returns a connected Watts–Strogatz small-world graph.

Attempts to generate a connected graph by repeated generation of Watts–Strogatz small-world graphs. An exception is raised if the maximum number of tries is exceeded.

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
tries (int) – Number of attempts to generate a connected graph.
seed (integer, random_state, or None (default)) – Indicator of random number generation state. See Randomness.

Notes

First create a ring over \(n\) nodes 1. 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 \(w\). The entire process is repeated until a connected graph results.