sample_gnm

0th

Percentile

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

sample_gnp, sample_pa

Aliases
  • sample_gnm
  • gnm
Examples
# NOT RUN {
g <- sample_gnm(1000, 1000)
degree_distribution(g)
# }
Documentation reproduced from package igraph, version 1.2.2, License: GPL (>= 2)

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