sample_bipartite: Bipartite random graphs

In igraph/rigraph: Network Analysis and Visualization

Bipartite random graphs

Description

Generate bipartite graphs using the Erdős-Rényi model. Use sample_bipartite_gnm() and sample_bipartite_gnp() instead.

Usage

sample_bipartite(
  n1,
  n2,
  type = c("gnp", "gnm"),
  p,
  m,
  directed = FALSE,
  mode = c("out", "in", "all")
)

bipartite(..., type = NULL)

Arguments

n1	Integer scalar, the number of bottom vertices.
n2	Integer scalar, the number of top vertices.
type	Character scalar, the type of the graph, ‘gnp’ creates a G(n,p) graph, ‘gnm’ creates a G(n,m) graph. See details below.
p	Real scalar, connection probability for G(n,p) graphs. Should not be given for G(n,m) graphs.
m	Integer scalar, the number of edges for G(n,m) graphs. Should not be given for G(n,p) graphs.
directed	Logical scalar, whether to create a directed graph. See also the mode argument.
mode	Character scalar, specifies how to direct the edges in directed graphs. If it is ‘out’, then directed edges point from bottom vertices to top vertices. If it is ‘in’, edges point from top vertices to bottom vertices. ‘out’ and ‘in’ do not generate mutual edges. If this argument is ‘all’, then each edge direction is considered independently and mutual edges might be generated. This argument is ignored for undirected graphs.
...	Passed to sample_bipartite().

Value

A bipartite igraph graph.

Author(s)

Gabor Csardi [e-mail]

See Also

Random graph models (games) bipartite_gnm(), erdos.renyi.game(), sample_(), sample_chung_lu(), sample_correlated_gnp(), sample_correlated_gnp_pair(), sample_degseq(), sample_dot_product(), sample_fitness(), sample_fitness_pl(), sample_forestfire(), sample_gnm(), sample_gnp(), sample_grg(), sample_growing(), sample_hierarchical_sbm(), sample_islands(), sample_k_regular(), sample_last_cit(), sample_pa(), sample_pa_age(), sample_pref(), sample_sbm(), sample_smallworld(), sample_traits_callaway(), sample_tree()

Examples

## empty graph
sample_bipartite(10, 5, p = 0)

## full graph
sample_bipartite(10, 5, p = 1)

## random bipartite graph
sample_bipartite(10, 5, p = .1)

## directed bipartite graph, G(n,m)
sample_bipartite(10, 5, type = "Gnm", m = 20, directed = TRUE, mode = "all")

igraph/rigraph documentation built on June 13, 2025, 1:44 p.m.