Autor segons l'article: Kivelä M; Arenas A; Barthelemy M; Gleeson JP; Moreno Y; Porter MA
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Arenas Moreno, Alejandro
Paraules clau: Terminology Tensor decomposition Structural analysis of networks Network layers Multiple subsystems Multiple disciplines Multilayers Multilayer networks Multilayer network models Multi-layer network Models of networks Mathematical analysis and simulations of networks Mathematical analysis Dynamical systems on networks Dynamical systems Data reduction Data analysis Connected component Community structures
Resum: In most natural and engineered systems, a set of entities interact with each other in complicated patterns that can encompass multiple types of relationships, change in time and include other types of complications. Such systems include multiple subsystems and layers of connectivity, and it is important to take such 'multilayer' features into account to try to improve our understanding of complex systems. Consequently, it is necessary to generalize 'traditional' network theory by developing (and validating) a framework and associated tools to study multilayer systems in a comprehensive fashion. The origins ofsuch efforts date back several decades and arose in multiple disciplines, and now the study of multilayer networks has become one of the most important directions in network science. In this paper, we discuss the history of multilayer networks (and related concepts) and review the exploding body of work on such networks. To unify the disparate terminology in the large body of recent work, we discuss a general framework for multilayer networks, construct a dictionary of terminology to relate the numerous existing concepts to each other and provide a thorough discussion that compares, contrasts and translates between related notions such as multilayer networks, multiplex networks, interdependent networks, networks of networks and many others. We also survey and discuss existing data sets that can be represented as multilayer networks. We review attempts to generalize single-layer-network diagnostics to multilayer networks. We also discuss the rapidly expanding research on multilayer-network models and notions like community structure, connected components, tensor decompositions and various types of dynamical processes on multilayer networks. We conclude with a summary and an outlook. © The Authors 2014.
Àrees temàtiques: Mathematics, interdisciplinary applications Management science and operations research Economia Direito Control and optimization Computer networks and communications Computational mathematics Ciencias sociales Ciência da computação Biodiversidade Astronomia / física Applied mathematics
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: alexandre.arenas@urv.cat
Identificador de l'autor: 0000-0003-0937-0334
Data d'alta del registre: 2023-02-19
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://academic.oup.com/comnet/article/2/3/203/2841130
Referència a l'article segons font original: Journal Of Complex Networks. 2 (3): 203-271
Referència de l'ítem segons les normes APA: Kivelä M; Arenas A; Barthelemy M; Gleeson JP; Moreno Y; Porter MA (2014). Multilayer networks. Journal Of Complex Networks, 2(3), 203-271. DOI: 10.1093/comnet/cnu016
URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1093/comnet/cnu016
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2014
Tipus de publicació: Journal Publications
Repositori URV