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xtranat  

Network Metrics Based on Random Walks
View on CRAN: Click here


Download and install xtranat package within the R console
Install from CRAN:
install.packages("xtranat")

Install from Github:
library("remotes")
install_github("cran/xtranat")

Install by package version:
library("remotes")
install_version("xtranat", "0.1.0")



Attach the package and use:
library("xtranat")
Maintained by
Fernando DePaolis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-27
Latest Update: 2023-03-27
Description:
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>.
How to cite:
Fernando DePaolis (2023). xtranat: Network Metrics Based on Random Walks. R package version 0.1.0, https://cran.r-project.org/web/packages/xtranat. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that xtranat depends, imports, suggests or enhances
Complete documentation for xtranat
Functions, R codes and Examples using the xtranat R package
Some associated functions: cbet . cbet_norm . exmpl_matrix . mfpt . rwc . rwc_norm . 
Some associated R codes: cbet.R . cbet_norm.R . data.R . mfpt.R . rwc.R . rwc_norm.R .  Full xtranat package functions and examples
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