Autor segons l'article: De Domenico, M.
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: DE DOMENICO ., MANLIO
Paraules clau: Dynamics diffusion Biological systems
Resum: Collective phenomena emerge from the interaction of natural or artificial units with a complex organization. The interplay between structural patterns and dynamics might induce functional clusters that, in general, are different from topological ones. In biological systems, like the human brain, the overall functionality is often favored by the interplay between connectivity and synchronization dynamics, with functional clusters that do not coincide with anatomical modules in most cases. In social, sociotechnical, and engineering systems, the quest for consensus favors the emergence of clusters. Despite the unquestionable evidence for mesoscale organization of many complex systems and the heterogeneity of their interconnectivity, a way to predict and identify the emergence of functional modules in collective phenomena continues to elude us. Here, we propose an approach based on random walk dynamics to define the diffusion distance between any pair of units in a networked system. Such a metric allows us to exploit the underlying diffusion geometry to provide a unifying framework for the intimate relationship between metastable synchronization, consensus, and random search dynamics in complex networks, pinpointing the functional mesoscale organization of synthetic and biological systems.
Grup de recerca: Algorithms embedded in Physical Systems
Àrees temàtiques: Computer engineering Ingeniería informática Enginyeria informàtica
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0031-9007
Identificador de l'autor: 0000-0001-5158-8594
Data d'alta del registre: 2017-05-17
Volum de revista: 118
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.118.168301
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1103/PhysRevLett.118.168301
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2017
Pàgina inicial: Art.num.168301
Tipus de publicació: Article Artículo Article
Repositori URV