Network Metrics Based on Random Walks

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) .

xtranat

xtranat

The functions in the ‘xtranat’ package are based on random walks. They compute Counting Betweenness and Random Walk Centrality. It also computes the intermediate measure Mean First Pass Time.

Installation

You can install the development version of xtranat from GitHub with:

# install.packages("devtools")
devtools::install_github("fdepaolis/xtranat")

Example

This is a basic example which shows you how to solve a common problem:

library(xtranat)
## basic example code