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arlclustering: Exploring Social Network Structures Through Friendship-Driven Community Detection with Association Rules Mining
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>.
Getting started
README.md
ARLClustering - General Introduction
ARLClustering - Testing Dolphins dataset
ARLClustering - Testing Facebook Friends dataset
ARLClustering - Testing Facebook L1 Organization dataset
ARLClustering - Testing Karate dataset
ARLClustering - Testing LesMiserables dataset
ARLClustering - Testing NetScience dataset
ARLClustering - Testing WordAdjacency dataset
Browse package contents
Package details |
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| Author | Mohamed El-Moussaoui [aut, cre], Mohamed Hanine [aut], Ali Kartit [ths], Tarik Agouti [rev] |
| Maintainer | Mohamed El-Moussaoui <med.elmoussaoui.ced@gmail.com> |
| License | GPL-3 |
| Version | 1.0.5 |
| URL | https://github.com/assuom44/arlclustering |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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