clustering_tm

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

Functions to visualise webs and calculate a series of indices commonly used to describe pattern in (ecological) webs. It focuses on webs consisting of only two levels (bipartite), e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the web's topology.

Carsten F Dormann

bipartite

Visualising Bipartite Networks and Calculating Some (Ecological)
Indices

Carsten F. Dormann

Jochen Fruend

Bernd Gruber

Stephen Beckett

Mariano Devoto

Gabriel M.F. Felix

Jos<e9> M. Iriondo

Tore Opsahl

Rafael B.P. Pinheiro

Rouven Strauss

Diego P. V<e1>zquez

clustering_tm function

<dl> <dt>net</dt>
<dd>A binary or weighted two-mode edgelist</dd> <dt>subsample</dt>
<dd>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.</dd> <dt>seed</dt>
<dd>If a subset of 4-paths is analysed, by setting this parameter, the results are reproducable.</dd></dl>

Arguments

Tore Opsahl; <a href="https://toreopsahl.com">https://toreopsahl.com</a>

Author

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

Redefined clustering coefficient for two-mode networks — clustering_tm

<dl>

 <dt>net</dt>
<dd>A binary or weighted two-mode edgelist</dd>

 <dt>subsample</dt>
<dd>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.</dd>

 <dt>seed</dt>
<dd>If a subset of 4-paths is analysed, by setting this parameter, the results are reproducable.</dd>

</dl>

Tore Opsahl; <a href='https://toreopsahl.com'>https://toreopsahl.com</a>

clustering_tm: Redefined clustering coefficient for two-mode networks

Description

Usage

Value

Arguments

Author

References