Autor según el artículo: Kivelä M; Arenas A; Barthelemy M; Gleeson JP; Moreno Y; Porter MA
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Arenas Moreno, Alejandro
Palabras clave: 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
Resumen: 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.
Áreas temáticas: 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
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: alexandre.arenas@urv.cat
Identificador del autor: 0000-0003-0937-0334
Fecha de alta del registro: 2024-07-27
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://academic.oup.com/comnet/article/2/3/203/2841130
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Journal Of Complex Networks. 2 (3): 203-271
Referencia 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
DOI del artículo: 10.1093/comnet/cnu016
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2014
Tipo de publicación: Journal Publications
Repositori URV