Finding recurrence networks' threshold adaptively for a specific time series
dc.bibliographicCitation.firstPage | 1085 | eng |
dc.bibliographicCitation.issue | 6 | eng |
dc.bibliographicCitation.journalTitle | Nonlinear Processes in Geophysics | eng |
dc.bibliographicCitation.volume | 21 | eng |
dc.contributor.author | Eroglu, D. | |
dc.contributor.author | Marwan, N. | |
dc.contributor.author | Prasad, S. | |
dc.contributor.author | Kurths, J. | |
dc.date.accessioned | 2020-08-01T15:36:08Z | |
dc.date.available | 2020-08-01T15:36:08Z | |
dc.date.issued | 2014 | |
dc.description.abstract | Recurrence-plot-based recurrence networks are an approach used to analyze time series using a complex networks theory. In both approaches-recurrence plots and recurrence networks-, a threshold to identify recurrent states is required. The selection of the threshold is important in order to avoid bias of the recurrence network results. In this paper, we propose a novel method to choose a recurrence threshold adaptively. We show a comparison between the constant threshold and adaptive threshold cases to study period-chaos and even period-period transitions in the dynamics of a prototypical model system. This novel method is then used to identify climate transitions from a lake sediment record. | eng |
dc.description.version | publishedVersion | eng |
dc.identifier.uri | https://doi.org/10.34657/3894 | |
dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/5265 | |
dc.language.iso | eng | eng |
dc.publisher | Göttingen : Copernicus GmbH | eng |
dc.relation.doi | https://doi.org/10.5194/npg-21-1085-2014 | |
dc.relation.issn | 1023-5809 | |
dc.rights.license | CC BY 3.0 Unported | eng |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/ | eng |
dc.subject.ddc | 530 | eng |
dc.subject.other | climate change | eng |
dc.subject.other | lacustrine deposit | eng |
dc.subject.other | modeling | eng |
dc.subject.other | time series | eng |
dc.title | Finding recurrence networks' threshold adaptively for a specific time series | eng |
dc.type | Article | eng |
dc.type | Text | eng |
tib.accessRights | openAccess | eng |
wgl.contributor | PIK | eng |
wgl.subject | Physik | eng |
wgl.type | Zeitschriftenartikel | eng |
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