Autor segons l'article: Mingueza, Francisco Bauza; Floria, Mario; Gomez-Gardenes, Jesus; Arenas, Alex; Cardillo, Alessio
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Arenas Moreno, Alejandro / Cardillo, Alessio Vincenzo
Paraules clau: Dynamics models
Resum: 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.
Àrees temàtiques: 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
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: alexandre.arenas@urv.cat
Identificador de l'autor: 0000-0003-0937-0334
Data d'alta del registre: 2024-09-28
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.nature.com/articles/s41598-022-25907-7
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Scientific Reports. 13 (1): 765-
Referència 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 de l'article: 10.1038/s41598-022-25907-7
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2023
Tipus de publicació: Journal Publications
Repositori URV