Finding recurrence networks' threshold adaptively for a specific time series
- 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.
Author details: | Deniz Eroglu, Norbert MarwanORCiDGND, Sushma PrasadORCiD, Jürgen KurthsORCiDGND |
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DOI: | https://doi.org/10.5194/npg-21-1085-2014 |
ISSN: | 1023-5809 |
Title of parent work (English): | Nonlinear processes in geophysics |
Publisher: | Copernicus |
Place of publishing: | Göttingen |
Publication type: | Article |
Language: | English |
Year of first publication: | 2014 |
Publication year: | 2014 |
Release date: | 2017/03/27 |
Volume: | 21 |
Issue: | 6 |
Number of pages: | 8 |
First page: | 1085 |
Last Page: | 1092 |
Funding institution: | project "Gradual environmental change versus single catastrophe - Identifying drivers of mammalian evolution" - Leibniz Association (WGL) [SAW-2013-IZW-2] |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
Peer review: | Referiert |
Publishing method: | Open Access |
Institution name at the time of the publication: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Erd- und Umweltwissenschaften |