dense_gnm_random_graph#
- dense_gnm_random_graph(n, m, seed=None, *, create_using=None)[source]#
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.
- create_usingGraph constructor, optional (default=nx.Graph)
Graph type to create. If graph instance, then cleared before populated. Multigraph and directed types are not supported and raise a
NetworkXError
.
See also
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.