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.
each_edge(
prob,
loops = FALSE,
multiple = FALSE,
mode = c("all", "out", "in", "total")
)
The rewiring probability, a real number between zero and one.
Logical scalar, whether loop edges are allowed in the rewired graph.
Logical scalar, whether multiple edges are allowed in the generated graph.
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.
Note that this method might create graphs with multiple and/or loop edges.
Other rewiring functions:
keeping_degseq()
,
rewire()
# NOT RUN {
# 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 <- barabasi.game(1000)
g2 <- g %>% rewire(each_edge(mode="in", multiple=TRUE, prob=0.2))
degree(g, mode="in") == degree(g2, mode="in")
# }
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