Autor según el artículo: Mingueza, Francisco Bauza; Floria, Mario; Gomez-Gardenes, Jesus; Arenas, Alex; Cardillo, Alessio
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Arenas Moreno, Alejandro / Cardillo, Alessio Vincenzo
Palabras clave: Dynamics models
Resumen: Many complex networked systems exhibit volatile dynamic interactions among their vertices, whose order and persistence reverberate on the outcome of dynamical processes taking place on them. To quantify and characterize the similarity of the snapshots of a time-varying network—a proxy for the persistence,—we present a study on the persistence of the interactions based on a descriptor named temporality. We use the average value of the temporality, T¯ , to assess how “special” is a given time-varying network within the configuration space of ordered sequences of snapshots. We analyse the temporality of several empirical networks and find that empirical sequences are much more similar than their randomized counterparts. We study also the effects on T¯ induced by the (time) resolution at which interactions take place.
Áreas temáticas: Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Letras / linguística Interdisciplinar Geografía Geociências Farmacia Engenharias iv Engenharias iii Engenharias ii Enfermagem Educação física Educação Economia Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biodiversidade Astronomia / física
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: 2024-09-28
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.nature.com/articles/s41598-022-25907-7
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Scientific Reports. 13 (1): 765-
Referencia de l'ítem segons les normes APA: Mingueza, Francisco Bauza; Floria, Mario; Gomez-Gardenes, Jesus; Arenas, Alex; Cardillo, Alessio (2023). Characterization of interactions’ persistence in time-varying networks. Scientific Reports, 13(1), 765-. DOI: 10.1038/s41598-022-25907-7
DOI del artículo: 10.1038/s41598-022-25907-7
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2023
Tipo de publicación: Journal Publications
Repositori URV