sample_gnp
From igraph v1.2.6
by Gabor Csardi
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.
- Keywords
- graphs
Usage
sample_gnp(n, p, directed = FALSE, loops = FALSE)gnp(...)
Arguments
- 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.
Details
The graph has ‘n’ vertices and for each edge the probability that it is present in the graph is ‘p’.
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_gnp(1000, 1/1000)
degree_distribution(g)
# }
Community examples
Looks like there are no examples yet.