Repositori institucional URV
Español Català English
TÍTULO:
Detection of timescales in evolving complex systems - imarina:9282629

Autor/es de la URV:Arenas Moreno, Alejandro / Gómez Jiménez, Sergio
Autor según el artículo:Darst, Richard K; Granell, Clara; Arenas, Alex; Gomez, Sergio; Saramaki, Jari; Fortunato, Santo
Direcció de correo del autor:sergio.gomez@urv.cat
alexandre.arenas@urv.cat
Identificador del autor:0000-0003-1820-0062
0000-0003-0937-0334
Año de publicación de la revista:2016
Tipo de publicación:Journal Publications
Referencia de l'ítem segons les normes APA:Darst, Richard K; Granell, Clara; Arenas, Alex; Gomez, Sergio; Saramaki, Jari; Fortunato, Santo (2016). Detection of timescales in evolving complex systems. Scientific Reports, 6(), 39713-. DOI: 10.1038/srep39713
Referencia al articulo segun fuente origial:Scientific Reports. 6 39713-
Resumen: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.
DOI del artículo:10.1038/srep39713
Enlace a la fuente original:https://www.nature.com/articles/srep39713
Versión del articulo depositado:info:eu-repo/semantics/publishedVersion
Acceso a la licencia de uso:https://creativecommons.org/licenses/by/3.0/es/
Departamento:Enginyeria Informàtica i Matemàtiques
URL Documento de licencia:https://repositori.urv.cat/ca/proteccio-de-dades/
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
Palabras clave:Model
Entidad:Universitat Rovira i Virgili
Fecha de alta del registro:2024-09-28
Busca tu registro en:

Archivos desponibles
ArchivoDescripciónFormato
DocumentPrincipalDocumentPrincipalapplication/pdf

Información

© 2011 Universitat Rovira i Virgili