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dc.contributor.authorSalcedo-Sanz, S.
dc.contributor.authorCasillas-Pérez, D.
dc.contributor.authorDel Ser Lorente, Javier ORCID
dc.contributor.authorCasanova-Mateo, C.
dc.contributor.authorCuadra, L.
dc.contributor.authorPiles, M.
dc.contributor.authorCamps-Valls, G.
dc.date.accessioned2022-06-08T11:39:51Z
dc.date.available2022-06-08T11:39:51Z
dc.date.issued2022-04-29
dc.identifier.citationPhysics Reports-Review Section of Physics Letters 957 : 1-73 (2022)es_ES
dc.identifier.issn0370-1573
dc.identifier.issn1873-6270
dc.identifier.urihttp://hdl.handle.net/10810/56853
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.es_ES
dc.description.sponsorshipThis 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).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PID2020-115454GB-C21es_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/647423es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectpersistencees_ES
dc.subjectcomplex systemses_ES
dc.subjectsystems' stateses_ES
dc.subjectlong-term and short-term methodses_ES
dc.subjectatmosphere and climatees_ES
dc.subjectrenewable energyes_ES
dc.subjecteconomyes_ES
dc.subjectcomplex networkses_ES
dc.subjectoptimization and planninges_ES
dc.subjectmachine learninges_ES
dc.subjectneural networkses_ES
dc.subjectneurosciencees_ES
dc.subjectmemoryes_ES
dc.subjectadaptationes_ES
dc.subjectdetrended fluctuation analysises_ES
dc.subjectlong-range correlationses_ES
dc.subjectglobal solar-radiationes_ES
dc.subjectearthquake magnitude serieses_ES
dc.subjectzero-temperature dynamicses_ES
dc.subjectlow-visibility eventstime-serieses_ES
dc.subjectwind-speedes_ES
dc.subjectfractal dimensiones_ES
dc.subjectinflation persistencees_ES
dc.titlePersistence in complex systemses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0370157322000497?via%3Dihub#!es_ES
dc.identifier.doi10.1016/j.physrep.2022.02.002
dc.contributor.funderEuropean Commission
dc.departamentoesIngeniería de comunicacioneses_ES
dc.departamentoeuKomunikazioen ingeniaritzaes_ES


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2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Except where otherwise noted, this item's license is described as 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).