Redefined clustering coefficient for two-mode networks
This function calculates the two-mode clustering coefficient as proposed by Opsahl (2010).
clustering_tm(net, subsample=1, seed=NULL)
net |
A binary or weighted two-mode edgelist |
subsample |
Whether a only a subset of 4-paths should we used when calculating the measure. This is particularly useful when running out of memory analysing large networks. If it is set to 1, all the 4-paths are analysed. If it set to a value below one, this is roughly the proportion of 4-paths that will be analysed. If it is set to an interger greater than 1, this number of ties that form the first part of a 4-path that will be analysed. Note: The C++ functions are better as they analyse the full network. |
seed |
If a subset of 4-paths is analysed, by setting this parameter, the results are reproducable. |
Returns the outcome of the equation presented in the paper
version 1.0.0, taken, with permission, from package tnet
Tore Opsahl; https://toreopsahl.com
Opsahl, T. 2010. Triadic closure in two-mode networks: Redefining the global and local clustering coefficients. arXiv,1006.0887
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