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Linkage  

Clustering Communication Networks Using the Stochastic Topic Block Model Through Linkage.fr
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Linkage", "0.9")



Attach the package and use:
library("Linkage")
Maintained by
Charles Bouveyron
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-12
Latest Update: 2022-04-12
Description:
It allows to cluster communication networks using the Stochastic Topic Block Model by posting jobs through the API of the linkage.fr server, which implements the clustering method. The package also allows to visualize the clustering results returned by the server.
How to cite:
Charles Bouveyron (2022). Linkage: Clustering Communication Networks Using the Stochastic Topic Block Model Through Linkage.fr. R package version 0.9, https://cran.r-project.org/web/packages/Linkage. Accessed 04 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited Linkage R package
View Linkage citation profile
Other R packages that Linkage depends, imports, suggests or enhances
Complete documentation for Linkage
Functions, R codes and Examples using the Linkage R package
Some associated functions: Enron . Linkage-package . linkage.check . linkage.getresults . linkage.post . plot.linkage . 
Some associated R codes: linkage.check.R . linkage.getresults.R . linkage.post.R . plot.adjacency.R . plot.linkage.R . plot.metanetwork.R . plot.network.R . plot.rho.R . plot.topwords.R .  Full Linkage package functions and examples
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