View source: R/scoring_functions_Rcpp.R
| internal_density | R Documentation |
Internal density of a graph's communities. That is, the sum of weights of their edges divided by the number of unordered pairs of vertices (which is the number of potential edges).
internal_density(g, com)
g |
Graph to be analyzed (as an |
com |
community membership integer vector. Each element corresponds to a vertex. |
Numeric vector with the internal density of each community.
Other cluster scoring functions:
FOMD(),
average_degree(),
average_odf(),
conductance(),
coverage(),
cut_ratio(),
density_ratio(),
edges_inside(),
expansion(),
max_odf(),
normalized_cut(),
scoring_functions(),
weighted_clustering_coefficient(),
weighted_transitivity()
data(karate, package="igraphdata")
internal_density(karate, membership(cluster_louvain(karate)))
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