Autor según el artículo: Alex Arenas; Jacopo Iacovacci; Christoph Rahmede; Ginestra Bianconi

Departamento: Enginyeria Informàtica i Matemàtiques

Autor/es de la URV: ARENAS MORENO, ALEJANDRO; Jacopo Iacovacci; Christoph Rahmede; Ginestra Bianconi

Palabras clave: Multiplex networks

Resumen: Recently it has been recognized that many complex social, technological and biological networks have a multilayer nature and can be described by multiplex networks. Multiplex networks are formed by a set of nodes connected by links having different connotations forming the different layers of the multiplex. Characterizing the centrality of the nodes in a multiplex network is a challenging task since the centrality of the node naturally depends on the importance associated to links of a certain type. Here we propose to assign to each node of a multiplex network a centrality called Functional Multiplex PageRank that is a function of the weights given to every different pattern of connections (multilinks) existent in the multiplex network between any two nodes. Since multilinks distinguish all the possible ways in which the links in different layers can overlap, the Functional Multiplex PageRank can describe important non-linear effects when large relevance or small relevance is assigned to multilinks with overlap. Here we apply the Functional Page Rank to the multiplex airport networks, to the neuronal network of the nematode C. elegans, and to social collaboration and citation networks between scientists. This analysis reveals important differences existing between the most central nodes of these networks, and the correlations between their so-called pattern to success.

Grupo de investigación: Algorithms embedded in Physical Systems

Áreas temáticas: Computer engineering Ingeniería informática Enginyeria informàtica

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 0295-5075

Identificador del autor: 0000-0003-0937-0334; n/a; n/a; n/a

Fecha de alta del registro: 2017-01-19

Volumen de revista: 116

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://iopscience.iop.org/article/10.1209/0295-5075/116/28004

DOI del artículo: 10.1209/0295-5075/116/28004

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2016

Página inicial: Article number 28004

Tipo de publicación: Article Artículo Article