Finding recurrence networks' threshold adaptively for a specific time series

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Date
2014
Volume
21
Issue
6
Journal
Series Titel
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Publisher
Göttingen : Copernicus GmbH
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.

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Keywords
climate change, lacustrine deposit, modeling, time series
Citation
Eroglu, D., Marwan, N., Prasad, S., & Kurths, J. (2014). Finding recurrence networks’ threshold adaptively for a specific time series. 21(6). https://doi.org//10.5194/npg-21-1085-2014
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License
CC BY 3.0 Unported