sample_gnm: Generate random graphs according to the G(n,m) Erdos-Renyi model
Description
This model is very simple, every possible edge is created with the same
constant probability.
Usage
sample_gnm(n, m, directed = FALSE, loops = FALSE)
gnm(...)
Arguments
n
The number of vertices in the graph.
m
The number of edges in the graph.
directed
Logical, whether the graph will be directed, defaults to
FALSE.
loops
Logical, whether to add loop edges, defaults to FALSE.
...
Passed to sample_gnm.
Value
A graph object.
Details
The graph has ‘n’ vertices and ‘m’ edges,
and the ‘m’ edges are chosen uniformly randomly from the set of all
possible edges. This set includes loop edges as well if the loops
parameter is TRUE.
References
Erdos, P. and Renyi, A., On random graphs, Publicationes
Mathematicae 6, 290--297 (1959).