Multilayer networks in a nutshell

Aleta, A. (Universidad de Zaragoza) ; Moreno, Y. (Universidad de Zaragoza)

Resumen: Complex systems are characterized by many interacting units that give rise to emergent behavior. A particularly advantageous way to study these systems is through the analysis of the networks that encode the interactions among the system constituents. During the past two decades, network science has provided many insights in natural, social, biological, and technological systems. However, real systems are often interconnected, with many interdependencies that are not properly captured by single-layer networks. To account for this source of complexity, a more general framework, in which different networks evolve or interact with each other, is needed. These are known as multilayer networks. Here, we provide an overview of the basic methodology used to describe multilayer systems as well as of some representative dynamical processes that take place on top of them. We round off the review with a summary of several applications in diverse fields of science.

Idioma: Inglés

DOI: 10.1146/annurev-conmatphys-031218-013259

Año: 2019

Publicado en: ANNUAL REVIEW OF CONDENSED MATTER PHYSICS 10, 1 (2019), 45-62
ISSN: 1947-5454

Factor impacto JCR: 14.833 (2019)

Categ. JCR: PHYSICS, CONDENSED MATTER rank: 6 / 69 = 0.087 (2019) - Q1 - T1

Factor impacto SCIMAGO: 8.574 - Materials Science (miscellaneous) (Q1) - Condensed Matter Physics (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/E36-17R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/FIS2017-87519-P

Tipo y forma: Revisión (PostPrint)

Área (Departamento): Área Física Teórica (Dpto. Física Teórica)