sdsm

<code>sdsm()</code> was replaced by <code>backbone_from_projection(model="sdsm")</code>.

internal

An implementation of methods for extracting a sparse unweighted network (i.e. a backbone)
from an unweighted network (e.g., Hamann et al., 2016 <doi:10.1007/s13278-016-0332-2>), a weighted network
(e.g., Serrano et al., 2009 <doi:10.1073/pnas.0808904106>), or a weighted projection (e.g., Neal et al., 2021
<doi:10.1038/s41598-021-03238-3>).

Zachary Neal

backbone

Extracts the Backbone from Networks

Rachel Domagalski

Bruce Sagan

Karl Godard

sdsm function

<dl><dt>B</dt>
<dd>An unweighted bipartite network as a binary incidence matrix or a binary bipartite <a href="/link/igraph?package=backbone&version=3.0.2" data-mini-rdoc="backbone::igraph">igraph</a> object</dd>
<dt>alpha</dt>
<dd>real: significance level of hypothesis test(s)</dd>
<dt>missing.as.zero</dt>
<dd>boolean: treat missing edges as edges with zero weight and test them for significance</dd>
<dt>signed</dt>
<dd>boolean: return a signed backbone</dd>
<dt>mtc</dt>
<dd>string: type of Multiple Test Correction, either <code>"none"</code> or a method allowed by <code><a href="/link/p.adjust()?package=backbone&version=3.0.2" data-mini-rdoc="backbone::p.adjust()">p.adjust()</a></code>.</dd>
<dt>narrative</dt>
<dd>boolean: display suggested text &amp; citations</dd></dl>

Arguments

Depricated function to extract Stochastic Degree Sequence Model (SDSM) backbone — sdsm

<dl>

<dt>B</dt>
<dd>An unweighted bipartite network as a binary incidence matrix or a binary bipartite <a href='https://rdrr.io/pkg/igraph/man/aaa-igraph-package.html'>igraph</a> object</dd>


<dt>alpha</dt>
<dd>real: significance level of hypothesis test(s)</dd>


<dt>missing.as.zero</dt>
<dd>boolean: treat missing edges as edges with zero weight and test them for significance</dd>


<dt>signed</dt>
<dd>boolean: return a signed backbone</dd>


<dt>mtc</dt>
<dd>string: type of Multiple Test Correction, either <code>"none"</code> or a method allowed by <code><a href='https://rdrr.io/r/stats/p.adjust.html'>p.adjust()</a></code>.</dd>


<dt>narrative</dt>
<dd>boolean: display suggested text &amp; citations</dd>

</dl>

sdsm: Depricated function to extract Stochastic Degree Sequence Model (SDSM) backbone

Description

Usage

Arguments

Details