sample_gnm
From igraph v1.0.1
by Gabor Csardi
Generate random graphs according to the G(n,m) Erdos-Renyi model
This model is very simple, every possible edge is created with the same constant probability.
- Keywords
- graphs
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_app.
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.
Value
A graph object.
References
Erdos, P. and Renyi, A., On random graphs, Publicationes Mathematicae 6, 290--297 (1959).
See Also
Examples
# NOT RUN {
g <- sample_gnm(1000, 1000)
degree_distribution(g)
# }
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