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

Jose M. Iriondo

Tore Opsahl

Rafael B.P. Pinheiro

Rouven Strauss

Diego P. Vazquez

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