weighted_clustering_coefficient: Weighted clustering coefficient of a weighted graph.

In clustAnalytics: Cluster Evaluation on Graphs

Weighted clustering coefficient of a weighted graph.

Description

Weighted clustering Computed using the definition given by McAssey, M. P. and Bijma, F. in "A clustering coefficient for complete weighted networks" (2015).

Usage

weighted_clustering_coefficient(g, upper_bound = NULL)

Arguments

g	igraph graph
upper_bound	upper bound to the edge weights used to compute the integral

Value

The weighted clustering coefficient of the graph (a scalar).

See Also

Other cluster scoring functions: FOMD(), average_degree(), average_odf(), conductance(), coverage(), cut_ratio(), density_ratio(), edges_inside(), expansion(), internal_density(), max_odf(), normalized_cut(), scoring_functions(), weighted_transitivity()

Examples

data(karate, package="igraphdata")
weighted_clustering_coefficient(karate)

clustAnalytics documentation built on May 29, 2024, 12:18 p.m.