Finding recurrence networks' threshold adaptively for a specific time series
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Published:2014-11-11
Issue:6
Volume:21
Page:1085-1092
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ISSN:1607-7946
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Container-title:Nonlinear Processes in Geophysics
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language:en
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Short-container-title:Nonlin. Processes Geophys.
Author:
Eroglu D., Marwan N.ORCID, Prasad S., Kurths J.
Abstract
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.
Funder
Leibniz-Gemeinschaft
Publisher
Copernicus GmbH
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