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tnet (version 3.0.16)

clustering_local_tm: Redefined local clusering coefficient for two-mode networks

Description

This function calculates the local two-mode clusering coefficient as proposed in Opsahl, T., 2010. Triadic closure in two-mode networks: Redefining the global and local clustering coefficients. arXiv:1006.0887.

Usage

clustering_local_tm(net)

Arguments

net

A binary or weighted two-mode edgelist

Value

Returns the local clustering coefficient for the primary node set (the first of an edgelist or the rows of a matrix)

References

Opsahl, T., 2010. Triadic closure in two-mode networks: Redefining the global and local clustering coefficients. arXiv:1006.0887

Examples

Run this code
# NOT RUN {
# Weighted two-mode network
net <- cbind(
i=c(1,1,2,2,2,3,3,4,5,5,6),
p=c(1,2,1,3,4,2,3,4,3,5,5),
w=c(3,5,6,1,2,6,2,1,3,1,2))

## Run binary clustering function
clustering_local_tm(net[,1:2])

## Run weighted clustering function
clustering_local_tm(net)

# }

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