Author, as appears in the article.: De Domenico, M.
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: DE DOMENICO ., MANLIO
Keywords: Dynamics diffusion Biological systems
Abstract: 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.
Research group: Algorithms embedded in Physical Systems
Thematic Areas: Computer engineering Ingeniería informática Enginyeria informàtica
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0031-9007
Author identifier: 0000-0001-5158-8594
Record's date: 2017-05-17
Journal volume: 118
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.118.168301
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Article's DOI: 10.1103/PhysRevLett.118.168301
Entity: Universitat Rovira i Virgili
Journal publication year: 2017
First page: Art.num.168301
Publication Type: Article Artículo Article
Repositori URV