Declare a numeric vector as a membership vector — as_membership • igraph

This is useful if you want to use functions defined on membership vectors, but your membership vector does not come from an igraph clustering method.

Usage

as_membership(x)

Arguments

x: The input vector.

Value

The input vector, with the membership class added.

See also

Community detection cluster_edge_betweenness(), cluster_fast_greedy(), cluster_fluid_communities(), cluster_infomap(), cluster_label_prop(), cluster_leading_eigen(), cluster_leiden(), cluster_louvain(), cluster_optimal(), cluster_spinglass(), cluster_walktrap(), compare(), groups(), make_clusters(), membership(), modularity.igraph(), plot_dendrogram(), split_join_distance(), voronoi_cells()

Examples

## Compare to the correct clustering
g <- (make_full_graph(10) + make_full_graph(10)) %>%
  rewire(each_edge(p = 0.2))
correct <- rep(1:2, each = 10) %>% as_membership()
fc <- cluster_fast_greedy(g)
compare(correct, fc)
#> [1] 0
compare(correct, membership(fc))
#> [1] 0