Autor según el artículo: Darst, Richard K; Granell, Clara; Arenas, Alex; Gomez, Sergio; Saramaki, Jari; Fortunato, Santo
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Arenas Moreno, Alejandro / Gómez Jiménez, Sergio
Palabras clave: Model
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.
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: sergio.gomez@urv.cat alexandre.arenas@urv.cat
Identificador del autor: 0000-0003-1820-0062 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/srep39713
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Scientific Reports. 6 39713-
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
DOI del artículo: 10.1038/srep39713
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2016
Tipo de publicación: Journal Publications