This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.
- newman_watts_strogatz_graph(n, k, p, seed=None)¶
Return a Newman-Watts-Strogatz small world graph.
n : int
The number of nodes
k : int
Each node is connected to k nearest neighbors in ring topology
p : float
The probability of adding a new edge for each edge
seed : int, optional
seed for random number generator (default=None)
First create a ring over n nodes. Then each node in the ring is connected with its k nearest neighbors (k-1 neighbors if k is odd). Then shortcuts are created by adding new edges as follows: for each edge u-v in the underlying “n-ring with k nearest neighbors” with probability p add a new edge u-w with randomly-chosen existing node w. In contrast with watts_strogatz_graph(), no edges are removed.
[R309] M. E. J. Newman and D. J. Watts, Renormalization group analysis of the small-world network model, Physics Letters A, 263, 341, 1999. http://dx.doi.org/10.1016/S0375-9601(99)00757-4