cluster_label_prop(graph, weights = NULL, initial = NULL, fixed = NULL)
NA
NULL
, every vertex will have a
different label at the beginning. Otherwise it must be a vector with an
entry for each vertex. Non-negative values denote different labels, negative
entries denote vertices without labels.cluster_label_prop
returns a
communities
object, please see the communities
manual page for details.From the abstract of the paper:
communities
for extracting the actual results.cluster_fast_greedy
, cluster_walktrap
and
cluster_spinglass
for other community detection methods.
g <- sample_gnp(10, 5/10) %du% sample_gnp(9, 5/9)
g <- add_edges(g, c(1, 12))
cluster_label_prop(g)
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