clustering_local_tm {tnet} | R Documentation |
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)
Note
version 1.0.0
Author(s)
Tore Opsahl; http://toreopsahl.com
References
Opsahl, T., 2010. Triadic closure in two-mode networks: Redefining the global and local clustering coefficients. arXiv:1006.0887
Examples
# 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)
[Package tnet version 3.0.16 Index]