Autor según el artículo: Arola-Fernández L; Mosquera-Doñate G; Steinegger B; Arenas A

Departamento: Enginyeria Informàtica i Matemàtiques

Autor/es de la URV: Arenas Moreno, Alejandro / Steinegger, Benjamin Franz Josef

Palabras clave: Hashtag Etiqueta «#» @uroweb @residentesaeu @infoAeu

Resumen: Many complex networks are built up from empirical data prone to experimental error. Thus, the determination of the specific weights of the links is a noisy measure. Noise propagates to those macroscopic variables researchers are interested in, such as the critical threshold for synchronization of coupled oscillators or for the spreading of a disease. Here, we apply error propagation to estimate the macroscopic uncertainty in the critical threshold for some dynamical processes in networks with noisy links. We obtain closed form expressions for the mean and standard deviation of the critical threshold depending on the properties of the noise and the moments of the degree distribution of the network. The analysis provides confidence intervals for critical predictions when dealing with uncertain measurements or intrinsic fluctuations in empirical networked systems. Furthermore, our results unveil a nonmonotonous behavior of the uncertainty of the critical threshold that depends on the specific network structure.

Áreas temáticas: Statistical and nonlinear physics Physics, mathematical Physics and astronomy (miscellaneous) Physics and astronomy (all) Medicine (miscellaneous) Medicina veterinaria Medicina ii Mathematics, applied Mathematical physics Matemática / probabilidade e estatística Interdisciplinar Geociências General physics and astronomy Engenharias iv Engenharias iii Engenharias ii Engenharias i Ciências ambientais Ciência da computação Astronomia / física Applied mathematics

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 1054-1500

Direcció de correo del autor: alexandre.arenas@urv.cat benjamin.steinegger@estudiants.urv.cat

Identificador del autor: 0000-0003-0937-0334 0000-0002-0723-1536

Fecha de alta del registro: 2023-02-19

Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion

Enlace a la fuente original: https://aip.scitation.org/doi/10.1063/1.5129630

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: Chaos. 30 (2): 023129-

Referencia de l'ítem segons les normes APA: Arola-Fernández L; Mosquera-Doñate G; Steinegger B; Arenas A (2020). Uncertainty propagation in complex networks: From noisy links to critical properties. Chaos, 30(2), 023129-. DOI: 10.1063/1.5129630

DOI del artículo: 10.1063/1.5129630

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2020

Tipo de publicación: Journal Publications