Percolation-based precursors of transitions in spatially extended systems

Show simple item record Rodríguez-Méndez, Victor Eguíluz, Víctor M. Hernández-García, Emilio Ramasco, José J. 2019-11-06T11:33:15Z 2019-11-06T11:33:15Z
dc.description.abstract [eng] Abrupt transitions are ubiquitous in the dynamics of complex systems. Finding precursors, i.e. early indicators of their arrival, is fundamental in many areas of science ranging from electrical engineering to climate. However, obtaining warnings of an approaching transition well in advance remains an elusive task. Here we show that a functional network, constructed from spatial correlations of the system's time series, experiences a percolation transition way before the actual system reaches a bifurcation point due to the collective phenomena leading to the global change. Concepts from percolation theory are then used to introduce early warning precursors that anticipate the system's tipping point. We illustrate the generality and versatility of our percolation-based framework with model systems experiencing different types of bifurcations and with Sea Surface Temperature time series associated to El Niño phenomenon.
dc.format application/pdf
dc.relation.isformatof Reproducció del document publicat a:
dc.relation.ispartof Scientific Reports, 2016, vol. 6, num. 29552, p. 1-10
dc.rights cc-by (c) Rodríguez-Méndez, Victor et al., 2016
dc.subject.classification 530.1 - Principis generals de la física
dc.subject.other 530.1 - Relativity principle
dc.title Percolation-based precursors of transitions in spatially extended systems
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/publishedVersion 2019-11-06T11:33:16Z
dc.rights.accessRights info:eu-repo/semantics/openAccess

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cc-by (c) Rodríguez-Méndez, Victor et al., 2016 Except where otherwise noted, this item's license is described as cc-by (c) Rodríguez-Méndez, Victor et al., 2016

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