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fast_gnp_random_graph¶
- fast_gnp_random_graph(n, p, seed=None, directed=False)[source]¶
Return a random graph G_{n,p} (Erdős-Rényi graph, binomial graph).
Parameters : n : int
The number of nodes.
p : float
Probability for edge creation.
seed : int, optional
Seed for random number generator (default=None).
directed : bool, optional (default=False)
If True return a directed graph
See also
Notes
The G_{n,p} graph algorithm chooses each of the [n(n-1)]/2 (undirected) or n(n-1) (directed) possible edges with probability p.
This algorithm is O(n+m) where m is the expected number of edges m=p*n*(n-1)/2.
It should be faster than gnp_random_graph when p is small and the expected number of edges is small (sparse graph).
References
[R306] Vladimir Batagelj and Ulrik Brandes, “Efficient generation of large random networks”, Phys. Rev. E, 71, 036113, 2005.