Persistence in complex systems

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dc.contributor.authorSalcedo-Sanz, S.
dc.contributor.authorCasillas-PĂ©rez, D.
dc.contributor.authorDel Ser, J.
dc.contributor.authorCasanova-Mateo, C.
dc.contributor.authorCuadra, L.
dc.contributor.authorPiles, M.
dc.contributor.authorCamps-Valls, G.
dc.contributor.institutionIA
dc.date.issued2022-04-29
dc.descriptionPublisher Copyright: © 2022 The Author(s)
dc.description.abstractPersistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The study of complex systems’ persistence involves different definitions and uses different techniques, depending on whether short-term or long-term persistence is considered. In this paper we discuss the most important definitions, concepts, methods, literature and latest results on persistence in complex systems. Firstly, the most used definitions of persistence in short-term and long-term cases are presented. The most relevant methods to characterize persistence are then discussed in both cases. A complete literature review is also carried out. We also present and discuss some relevant results on persistence, and give empirical evidence of performance in different detailed case studies, for both short-term and long-term persistence. A perspective on the future of persistence concludes the work.en
dc.description.statusPeer reviewed
dc.format.extent73
dc.format.extent6222921
dc.identifier.citationSalcedo-Sanz , S , Casillas-PĂ©rez , D , Del Ser , J , Casanova-Mateo , C , Cuadra , L , Piles , M & Camps-Valls , G 2022 , ' Persistence in complex systems ' , Physics Reports , vol. 957 , pp. 1-73 . https://doi.org/10.1016/j.physrep.2022.02.002
dc.identifier.doi10.1016/j.physrep.2022.02.002
dc.identifier.issn0370-1573
dc.identifier.otherresearchoutputwizard: 11556/1277
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85125263184&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofPhysics Reports
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsPersistence
dc.subject.keywordsComplex systems
dc.subject.keywordsSystems’ states
dc.subject.keywordsLong-term and short-term methods
dc.subject.keywordsAtmosphere and climate
dc.subject.keywordsRenewable energy
dc.subject.keywordsEconomy
dc.subject.keywordsComplex networks
dc.subject.keywordsOptimization and planning
dc.subject.keywordsMachine learning
dc.subject.keywordsNeural networks
dc.subject.keywordsNeuroscience
dc.subject.keywordsMemory
dc.subject.keywordsAdaptation
dc.subject.keywordsPersistence
dc.subject.keywordsComplex systems
dc.subject.keywordsSystems’ states
dc.subject.keywordsLong-term and short-term methods
dc.subject.keywordsAtmosphere and climate
dc.subject.keywordsRenewable energy
dc.subject.keywordsEconomy
dc.subject.keywordsComplex networks
dc.subject.keywordsOptimization and planning
dc.subject.keywordsMachine learning
dc.subject.keywordsNeural networks
dc.subject.keywordsNeuroscience
dc.subject.keywordsMemory
dc.subject.keywordsAdaptation
dc.subject.keywordsGeneral Physics and Astronomy
dc.subject.keywordsSDG 7 - Affordable and Clean Energy
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/647423/EU/Statistical Learning for Earth Observation Data Analysis/SEDAL
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/647423/EU/Statistical Learning for Earth Observation Data Analysis/SEDAL
dc.subject.keywordsFunding Info
dc.subject.keywordsThis research has been partially supported by the project PID2020-115454GB-C21 of the Spanish Ministry of Science and Innovation (MICINN). This research has also been partially supported by Comunidad de Madrid, PROMINT-CM project (grant ref: P2018/EMT-4366). J. Del Ser would like to thank the Basque Government for its funding support through the EMAITEK and ELKARTEK programs (3KIA project, KK-2020/00049), as well as the consolidated research group MATHMODE (ref. T1294-19). GCV work is supported by the European Research Council (ERC) under the ERC-CoG-2014 SEDAL Consolidator grant (grant agreement 647423).
dc.subject.keywordsThis research has been partially supported by the project PID2020-115454GB-C21 of the Spanish Ministry of Science and Innovation (MICINN). This research has also been partially supported by Comunidad de Madrid, PROMINT-CM project (grant ref: P2018/EMT-4366). J. Del Ser would like to thank the Basque Government for its funding support through the EMAITEK and ELKARTEK programs (3KIA project, KK-2020/00049), as well as the consolidated research group MATHMODE (ref. T1294-19). GCV work is supported by the European Research Council (ERC) under the ERC-CoG-2014 SEDAL Consolidator grant (grant agreement 647423).
dc.titlePersistence in complex systemsen
dc.typejournal article
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