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Title: Finding recurrence networks' threshold adaptively for a specific time series
Authors: Eroglu, D.Marwan, N.Prasad, S.Kurths, J.
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Issue Date: 2014
Published in: Nonlinear Processes in Geophysics Vol. 21 (2014), No. 6
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.
Keywords: climate change; lacustrine deposit; modeling; time series
DDC: 530
License: CC BY 3.0 Unported
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