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netShiny  

Tool for Comparison and Visualization of Multiple Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("netShiny", "1.0")



Attach the package and use:
library("netShiny")
Maintained by
Pariya Behrouzi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-22
Latest Update: 2022-08-22
Description:
We developed a comprehensive tool that helps with visualization and analysis of networks with the same variables across multiple factor levels. The 'netShiny' contains most of the popular network features such as centrality measures, modularity, and other summary statistics (e.g. clustering coefficient). It also contains known tools to look at the (dis)similarities between two networks, such as pairwise distance measures between networks, set operations on the nodes of the networks, distribution of the weights of the edges and a network representing the difference between two correlation matrices. The package 'netShiny' also contains tools to perform bootstrapping and find clusters in networks. See the 'netShiny' manual for more information, documentation and examples.
How to cite:
Pariya Behrouzi (2022). netShiny: Tool for Comparison and Visualization of Multiple Networks. R package version 1.0, https://cran.r-project.org/web/packages/netShiny. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:24), 1.0 (2022-08-22 11:30)
Other packages that cited netShiny R package
View netShiny citation profile
Other R packages that netShiny depends, imports, suggests or enhances
Complete documentation for netShiny
Functions, R codes and Examples using the netShiny R package
Some associated functions: netShiny . 
Some associated R codes: netShiny.R . utils_data_processing.R . utils_global.R . utils_plots.R .  Full netShiny package functions and examples
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