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sgraph  

Network Visualization Using 'sigma.js'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sgraph", "1.1.0")



Attach the package and use:
library("sgraph")
Maintained by
Thomas Charlon
[Scholar Profile | Author Map]
First Published: 2024-05-27
Latest Update: 2024-05-27
Description:
Interactive visualizations of graphs created with the 'igraph' package using a 'htmlwidgets' wrapper for the 'sigma.js' network visualization library v2.4.0 <https://www.sigmajs.org/>, enabling to display several thousands of nodes. While several 'R' packages have been developed to interface 'sigma.js', all were developed for v1.x.x and none have migrated to v2.4.0 nor are they planning to. This package builds upon the 'sigmaNet' package, and users familiar with it will recognize the similar design approach. Two extensions have been added to the classic 'sigma.js' visualizations by overriding the underlying 'JavaScript' code, enabling to draw a frame around node labels, and to display labels on multiple lines by parsing line breaks. Other additional functionalities that did not require overriding 'sigma.js' code include toggling node visibility when clicked using a node attribute and highlighting specific edges based on connectivity to a specific set of nodes. 'sigma.js' is currently preparing a stable release v3.0.0, and this package plans to update to it when it is available.
How to cite:
Thomas Charlon (2024). sgraph: Network Visualization Using 'sigma.js'. R package version 1.1.0, https://cran.r-project.org/web/packages/sgraph. Accessed 17 Feb. 2025.
Previous versions and publish date:
1.0.0 (2024-05-27 17:10)
Other packages that cited sgraph R package
View sgraph citation profile
Other R packages that sgraph depends, imports, suggests or enhances
Complete documentation for sgraph
Functions, R codes and Examples using the sgraph R package
Full sgraph package functions and examples
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