Repositori institucional URV
| URV's Author/s: | Arenas Moreno, Alejandro / Gómez Jiménez, Sergio |
| Author, as appears in the article.: | Darst RK; Granell C; Arenas A; Gómez S; Saramäki J; Fortunato S |
| Author's mail: | sergio.gomez@urv.cat alexandre.arenas@urv.cat |
| Author identifier: | 0000-0003-1820-0062 0000-0003-0937-0334 |
| Journal publication year: | 2016 |
| Publication Type: | Journal Publications |
| 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 |
| Papper original source: | Scientific Reports. 6 |
| Abstract: | 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. |
| Article's DOI: | 10.1038/srep39713 |
| Link to the original source: | https://www.nature.com/articles/srep39713 |
| Papper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Enginyeria Informàtica i Matemàtiques |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | 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 |
| Keywords: | Model |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2024-07-27 |
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