weighted_clustering_coefficient {clustAnalytics} | R Documentation |
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)
[Package clustAnalytics version 0.5.5 Index]