Description Usage Arguments Value Note Author(s) References

This function calculates the two-mode clustering coefficient as proposed by Opsahl (2010).

1 | ```
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; http://toreopsahl.com

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

bipartite documentation built on May 30, 2017, 1:25 a.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.