Finding recurrence networks’ threshold adaptively for a specific time series

D Eroglu, N. Marwan, S Prasad, Jurgen Kurths

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)
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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.
Original languageEnglish
Pages (from-to)1085-1092
Number of pages8
JournalNonlinear Processes in Geophysics
Issue number6
Publication statusPublished - 11 Nov 2014


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