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| Titel |
Finding recurrence networks' threshold adaptively for a specific time series |
| VerfasserIn |
D. Eroglu, N. Marwan, S. Prasad, J. Kurths |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 21, no. 6 ; Nr. 21, no. 6 (2014-11-11), S.1085-1092 |
| Datensatznummer |
250120950
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| Publikation (Nr.) |
 copernicus.org/npg-21-1085-2014.pdf |
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| Zusammenfassung |
| 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. |
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