each_edge: Rewires the endpoints of the edges of a graph to a random...

In igraph: Network Analysis and Visualization

Rewires the endpoints of the edges of a graph to a random vertex

Description

This function can be used together with rewire(). This method rewires the endpoints of the edges with a constant probability uniformly randomly to a new vertex in a graph.

Usage

each_edge(
  prob,
  loops = FALSE,
  multiple = FALSE,
  mode = c("all", "out", "in", "total")
)

Arguments

prob	The rewiring probability, a real number between zero and one.
loops	Logical scalar, whether loop edges are allowed in the rewired graph.
multiple	Logical scalar, whether multiple edges are allowed in the generated graph.
mode	Character string, specifies which endpoint of the edges to rewire in directed graphs. ‘all’ rewires both endpoints, ‘in’ rewires the start (tail) of each directed edge, ‘out’ rewires the end (head) of each directed edge. Ignored for undirected graphs.

Details

Note that this method might create graphs with multiple and/or loop edges.

Author(s)

Gabor Csardi [e-mail]

See Also

Other rewiring functions: keeping_degseq(), rewire()

Examples

# Some random shortcuts shorten the distances on a lattice
g <- make_lattice(length = 100, dim = 1, nei = 5)
mean_distance(g)
g <- rewire(g, each_edge(prob = 0.05))
mean_distance(g)

# Rewiring the start of each directed edge preserves the in-degree distribution
# but not the out-degree distribution
g <- sample_pa(1000)
g2 <- g %>% rewire(each_edge(mode = "in", multiple = TRUE, prob = 0.2))
degree(g, mode = "in") == degree(g2, mode = "in")

igraph documentation built on Oct. 20, 2024, 1:06 a.m.