randomWeight

This function randomly rewires the edges while preserving the original graph's
degree distribution.

internal

Assesses the robustness of the community structure of a network found by one or more community detection algorithm to give indications about their reliability. It detects if the community structure found by a set of algorithms is statistically significant and compares the different selected detection algorithms on the same network. robin helps to choose among different community detection algorithms the one that better fits the network of interest. Reference in Policastro V., Righelli D., Carissimo A., Cutillo L., De Feis I. (2021) <https://journal.r-project.org/archive/2021/RJ-2021-040/index.html>.

Valeria Policastro

robin

ROBustness in Network

Dario Righelli

Luisa Cutillo

Italia De Feis

Annamaria Carissimo

randomWeight function

<dl><dt>graph</dt>
<dd>The output of prepGraph.</dd>
<dt>dist</dt>
<dd>Option to rewire in a manner that retains overall graph weight 
regardless of distribution of edge weights. This option is invoked by putting 
any text into this field. Defaults to "Other". See
 <code>rewireR</code> for details.</dd>
<dt>verbose</dt>
<dd>flag for verbose output (default as FALSE)</dd></dl>

Arguments

randomWeight — randomWeight

<dl>

<dt>graph</dt>
<dd>The output of prepGraph.</dd>


<dt>dist</dt>
<dd>Option to rewire in a manner that retains overall graph weight 
regardless of distribution of edge weights. This option is invoked by putting 
any text into this field. Defaults to "Other". See
 <code>rewireR</code> for details.</dd>


<dt>verbose</dt>
<dd>flag for verbose output (default as FALSE)</dd>

</dl>

randomWeight: randomWeight

Description

Usage

Value

Arguments