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Detection of timescales in evolving complex systems - imarina:9282629

Autor/s de la URV:Arenas Moreno, Alejandro / Gómez Jiménez, Sergio
Autor segons l'article:Darst, Richard K; Granell, Clara; Arenas, Alex; Gomez, Sergio; Saramaki, Jari; Fortunato, Santo
Adreça de correu electrònic de l'autor:sergio.gomez@urv.cat
alexandre.arenas@urv.cat
Identificador de l'autor:0000-0003-1820-0062
0000-0003-0937-0334
Any de publicació de la revista:2016
Tipus de publicació:Journal Publications
Referència 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
Referència a l'article segons font original:Scientific Reports. 6 39713-
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.
DOI de l'article:10.1038/srep39713
Enllaç font original:https://www.nature.com/articles/srep39713
Versió de l'article dipositat:info:eu-repo/semantics/publishedVersion
Accès a la llicència d'ús:https://creativecommons.org/licenses/by/3.0/es/
Departament:Enginyeria Informàtica i Matemàtiques
URL Document de llicència:https://repositori.urv.cat/ca/proteccio-de-dades/
Àrees temàtiques:Zootecnia / recursos pesqueiros
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Astronomia / física
Paraules clau:Model
Entitat:Universitat Rovira i Virgili
Data d'alta del registre:2024-09-28
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