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Creates a communities object.

Source: R/community.R
make_clusters.Rd

This is useful to integrate the results of community finding algorithms that are not included in igraph.

Usage

make_clusters(
  graph,
  membership = NULL,
  algorithm = NULL,
  merges = NULL,
  modularity = TRUE
)

Arguments

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 NULL for hierarchical community structures.

algorithm

Character string, the algorithm that generated the community structure, it can be arbitrary.

merges

A merge matrix, for hierarchical community structures (or NULL otherwise.

modularity

Modularity value of the community structure. If this is TRUE and the membership vector is available, then it the modularity values is calculated automatically.

Value

A communities object.

membership

A numeric vector giving the community id for each vertex.

modularity

The modularity score of the partition.

algorithm

If known, the algorithm used to obtain the communities.

vcount

Number of vertices in the graph.

See also

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()