dense_gnm_random_graph

dense_gnm_random_graph(n, m, seed=None)

Returns a $G_{n,m}$ random graph.

In the $G_{n,m}$ model, a graph is chosen uniformly at random from the set of all graphs with $n$ nodes and $m$ edges.

This algorithm should be faster than gnm_random_graph() for dense graphs.

Parameters

nint

The number of nodes.

mint

The number of edges.

seedinteger, random_state, or None (default)

Indicator of random number generation state. See Randomness.

See also

gnm_random_graph

Notes

Algorithm by Keith M. Briggs Mar 31, 2006. Inspired by Knuth’s Algorithm S (Selection sampling technique), in section 3.4.2 of [1].

References

1

Donald E. Knuth, The Art of Computer Programming, Volume 2/Seminumerical algorithms, Third Edition, Addison-Wesley, 1997.