Author, as appears in the article.: Albert Solé-Ribalta; Manlio De Domenico; Sergio Gómez; Alex Arenas
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: SOLÉ RIBALTA, ALBERT; DE DOMENICO ., MANLIO; GÓMEZ JIMÉNEZ, SERGIO; ARENAS MORENO, ALEJANDRO
Keywords: Centrality Multilayer complex networks Random walks
Abstract: Real-world complex systems exhibit multiple levels of relationships. In many cases they require to be modeled as interconnected multilayer networks, characterizing interactions of several types simultaneously. It is of crucial importance in many fields, from economics to biology and from urban planning to social sciences, to identify the most (or the less) influent nodes in a network using centrality measures. However, defining the centrality of actors in interconnected complex networks is not trivial. In this paper, we rely on the tensorial formalism recently proposed to characterize and investigate this kind of complex topologies, and extend two well known random walk centrality measures, the random walk betweenness and closeness centrality, to interconnected multilayer networks. For each of the measures we provide analytical expressions that completely agree with numerically results.
Research group: Algorithms embedded in Physical Systems
Thematic Areas: Enginyeria informàtica Ingeniería informática Computer engineering
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0167-2789
Author identifier: 0000-0003-3474-7594; 0000-0001-5158-8594; 0000-0003-1820-0062; 0000-0003-0937-0334
Record's date: 2016-05-31
Last page: 79
Journal volume: 323-324
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0167278916000026?via%3Dihub
Article's DOI: 10.1016/j.physd.2016.01.002
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
First page: 73
Publication Type: Article Artículo Article
Repositori URV