igraph: sample_gnp – R documentation

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sample_gnp

Generate random graphs according to the G(n,p) Erdos-Renyi model

This model is very simple, every possible edge is created with the same constant probability.

sample_gnp(n, p, directed = FALSE, loops = FALSE)

gnp(...)

`n`	The number of vertices in the graph.
`p`	The probability for drawing an edge between two arbitrary vertices (G(n,p) 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`.

The graph has ‘n’ vertices and for each edge the probability that it is present in the graph is ‘p’.

A graph object.

Erdos, P. and Renyi, A., On random graphs, Publicationes Mathematicae 6, 290–297 (1959).

g <- sample_gnp(1000, 1/1000)
degree_distribution(g)

Network Analysis and Visualization

v1.2.10

GPL (>= 2)

Authors

See AUTHORS file.

Initial release