Autor segons l'article: Darst RK; Granell C; Arenas A; Gómez S; Saramäki J; Fortunato S
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Arenas Moreno, Alejandro / Gómez Jiménez, Sergio
Paraules clau: Model
Resum: Most complex systems are intrinsically dynamic in nature. The evolution of a dynamic complex system is typically represented as a sequence of snapshots, where each snapshot describes the configuration of the system at a particular instant of time. This is often done by using constant intervals but a better approach would be to define dynamic intervals that match the evolution of the system's configuration. To this end, we propose a method that aims at detecting evolutionary changes in the configuration of a complex system, and generates intervals accordingly. We show that evolutionary timescales can be identified by looking for peaks in the similarity between the sets of events on consecutive time intervals of data. Tests on simple toy models reveal that the technique is able to detect evolutionary timescales of time-varying data both when the evolution is smooth as well as when it changes sharply. This is further corroborated by analyses of several real datasets. Our method is scalable to extremely large datasets and is computationally efficient. This allows a quick, parameter-free detection of multiple timescales in the evolution of a complex system. © The Author(s) 2016.
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 sergio.gomez@urv.cat
Identificador de l'autor: 0000-0003-0937-0334 0000-0003-1820-0062
Data d'alta del registre: 2023-03-06
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.nature.com/articles/srep39713
Referència a l'article segons font original: Scientific Reports. 6
Referència de l'ítem segons les normes APA: Darst RK; Granell C; Arenas A; Gómez S; Saramäki J; Fortunato S (2016). Detection of timescales in evolving complex systems. Scientific Reports, 6(), -. DOI: 10.1038/srep39713
URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1038/srep39713
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2016
Tipus de publicació: Journal Publications
Repositori URV