Random Walk Centrality implemented as in DePaolis et al(2022)

There are two new network metrics, RWC (random walk centrality) and CBET (counting betweenness). Also available are the normalized versions of those metrics. These measures of centrality and betweenness are particularly useful for the analysis of very dense weighted networks which include loops. Traditional measures do not work as well for those network characteristics. The main reference is DePaolis at al (2022) <doi:10.1007/s41109-022-00519-2>.

Fernando DePaolis

xtranat

Network Metrics Based on Random Walks

rwc function

<dl><dt>A</dt>
<dd>The adjacency matrix of the network to be analyzed.It must be square.</dd></dl>

Arguments

Computes Random Walk Centrality — rwc

<dl>

<dt>A</dt>
<dd>The adjacency matrix of the network to be analyzed.It must be square.</dd>

</dl>

rwc: Computes Random Walk Centrality

Description

Usage

Value

Arguments

Examples