Overlapping community detection using Multi-objective approach and Rough Clustering

Darian Horacio Grass-Boada, Ariel Pérez Suárez, Leticia Arco, Rafael Bello, Alejandro Rosete

Onderzoeksoutput: Conference paper

1 Citaat (Scopus)


The detection of overlapping communities in Social Networks has been successfully applied in several contexts. Taking into account the high computational complexity of this problem as well as the drawbacks of single-objective approaches, community detection has been recently addressed as Multi-objective Optimization Evolutionary Algorithms (MOEAs). One of the challenges is to attain a final solution from the set of non-dominated solutions obtained by the MOEAs. In this paper, an algorithm to build a covering of the network based on the principles of the Rough Clustering is proposed. The experiments in a synthetic networks showed that our proposal is promising and effective for overlapping community detection in social networks.
Originele taal-2English
TitelRough Sets - International Joint Conference, IJCRS 2020, Proceedings
SubtitelProceedings of the International Joint Conference (IJCRS 2020), Havana, Cuba, June 29 – July 3, 2020
RedacteurenRafael Bello, Duoqian Miao, Rafael Falcon, Michinori Nakata, Alejandro Rosete, Davide Ciucci
UitgeverijSpringer Verlag
Aantal pagina's16
ISBN van elektronische versie978-3-030-52705-1
ISBN van geprinte versie978-3-030-52704-4
StatusPublished - 7 jul 2020
EvenementInternational Joint Conference on Rough Sets - Melia Habana Hotel, Havana, Cuba
Duur: 29 jun 20203 jul 2020

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12179 LNAI
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349


ConferenceInternational Joint Conference on Rough Sets
Verkorte titelIJCRS 2020
Internet adres


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