| make_clusters | R Documentation |
This is useful to integrate the results of community finding algorithms that are not included in igraph.
make_clusters(
graph,
membership = NULL,
algorithm = NULL,
merges = NULL,
modularity = TRUE
)
graph |
The graph of the community structure. |
membership |
The membership vector of the community structure, a
numeric vector denoting the id of the community for each vertex. It
might be |
algorithm |
Character string, the algorithm that generated the community structure, it can be arbitrary. |
merges |
A merge matrix, for hierarchical community structures (or
|
modularity |
Modularity value of the community structure. If this
is |
A communities object.
Community detection
as_membership(),
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(),
membership(),
modularity.igraph(),
plot_dendrogram(),
split_join_distance(),
voronoi_cells()
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