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arlclustering  

Exploring Social Network Structures Through Friendship-Driven Community Detection with Association Rules Mining
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("arlclustering", "1.0.5")



Attach the package and use:
library("arlclustering")
Maintained by
Mohamed El-Moussaoui
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-11
Latest Update: 2024-09-11
Description:
Implements an innovative approach to community detection in social networks using Association Rules Learning. The package provides tools for processing graph and rules objects, generating association rules, and detecting communities based on node interactions. Designed to facilitate advanced research in Social Network Analysis, this package leverages association rules learning for enhanced community detection. This approach is described in El-Moussaoui et al. (2021) <doi:10.1007/978-3-030-66840-2_3>.
How to cite:
Mohamed El-Moussaoui (2024). arlclustering: Exploring Social Network Structures Through Friendship-Driven Community Detection with Association Rules Mining. R package version 1.0.5, https://cran.r-project.org/web/packages/arlclustering. Accessed 12 Nov. 2024.
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