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Centrality rankings in multiplex networks - imarina:5753899

URV's Author/s:Arenas Moreno, Alejandro / DE DOMENICO, MANLIO / Gómez Jiménez, Sergio / Solé Ribalta, Albert
Author, as appears in the article.:Solé-Ribalta A; De Domenico M; Gómez S; Arenas A
Author's mail:albert.sole@urv.cat
sergio.gomez@urv.cat
alexandre.arenas@urv.cat
Author identifier:0000-0002-2953-5338
0000-0003-1820-0062
0000-0003-0937-0334
Journal publication year:2014
Publication Type:Proceedings Paper
APA:Solé-Ribalta A; De Domenico M; Gómez S; Arenas A (2014). Centrality rankings in multiplex networks.
Paper original source:Websci 2014 - Proceedings Of The 2014 Acm Web Science Conference. 149-155
Abstract:The vertiginous increase of e-platforms for social communication has boosted the ways people use to interact each other. Micro-blogging and decentralized posts are used indistinctly for social interaction, usually by the same individuals acting simultaneously in the different platforms. Multiplex networks are the natural abstraction representation of such layered relationships and others, like co-authorship. Here, we re-define the betweenness centrality measure to account for the inherent structure of multiplex networks and propose an algorithm to compute it in an effcient way. To show the necessity and the advantage of the proposed definition, we analyze the obtained centralities for two real multiplex networks, a social multiplex of two layers obtained from Twitter and Instagram and a co-authorship network of four layers obtained from arXiv. Results show that the proposed definition provides more accurate results than the current approach of evaluating the classical betweenness centrality on the aggregated network, in particular for the middle ranked nodes. We also analyze the computational cost of the presented algorithm. Copyright © 2014 ACM.
Article's DOI:10.1145/2615569.2615687
Department:Enginyeria Informàtica i Matemàtiques
Enginyeria Informàtica i Matemàtiques
Licence document URL:https://repositori.urv.cat/ca/proteccio-de-dades/
Thematic Areas:Computer networks and communications
Keywords:Multiplex networks
Multilayer networks
Betweenness centrality
Entity:Universitat Rovira i Virgili
Record's date:2024-09-28
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