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  Multiplex recurrence networks

Eroglu, D., Marwan, N., Stebich, M., Kurths, J. (2018): Multiplex recurrence networks. - Physical Review E, 97, 012312.
https://doi.org/10.1103/PhysRevE.97.012312

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Eroglu, Deniz1, Autor              
Marwan, Norbert1, Autor              
Stebich, M.2, Autor
Kurths, Jürgen1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Zusammenfassung: We have introduced a multiplex recurrence network approach by combining recurrence networks with the multiplex network approach in order to investigate multivariate time series. The potential use of this approach is demonstrated on coupled map lattices and a typical example from palaeobotany research. In both examples, topological changes in the multiplex recurrence networks allow for the detection of regime changes in their dynamics. The method goes beyond classical interpretation of pollen records by considering the vegetation as a whole and using the intrinsic similarity in the dynamics of the different regional vegetation elements. We find that the different vegetation types behave more similarly when one environmental factor acts as the dominant driving force.

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 Datum: 2018
 Publikationsstatus: Final veröffentlicht
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1103/PhysRevE.97.012312
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 8082
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Paleoclimate
Research topic keyword: Climate impacts
Research topic keyword: Ecosystems
Research topic keyword: Complex Networks
Model / method: Nonlinear Data Analysis
Regional keyword: Asia
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
Working Group: Network- and machine-learning-based prediction of extreme events
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Titel: Physical Review E
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
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Seiten: - Band / Heft: 97 Artikelnummer: 012312 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150218