make_clusters: Creates a communities object.

In igraph/rigraph: Network Analysis and Visualization

Creates a communities object.

Description

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()

igraph/rigraph documentation built on June 13, 2025, 1:44 p.m.