plot.robin

This function plots two curves: the measure of the null model and the measure
of the real graph or the measure of the two community detection algorithms.

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

plot.robin function

<dl><dt>x</dt>
<dd>A robin class object. The output of the functions:
<code>robinRobust</code> and <code>robinCompare</code>.</dd>
<dt>title</dt>
<dd>The title for the graph. The default is "Robin plot".</dd>
<dt>...</dt>
<dd>other parameter</dd></dl>

Arguments

plot.robin — plot.robin

<dl>

<dt>x</dt>
<dd>A robin class object. The output of the functions:
<code>robinRobust</code> and <code>robinCompare</code>.</dd>


<dt>title</dt>
<dd>The title for the graph. The default is "Robin plot".</dd>


<dt>...</dt>
<dd>other parameter</dd>

</dl>

plot.robin: plot.robin

Description

Usage

Value

Arguments

Examples