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- ItemPrincipal nonlinear dynamical modes of climate variability(London : Nature Publishing Group, 2015) Mukhin, D.; Gavrilov, A.; Feigin, A.; Loskutov, E.; Kurths, J.
- ItemFinding recurrence networks' threshold adaptively for a specific time series(Göttingen : Copernicus GmbH, 2014) Eroglu, D.; Marwan, N.; Prasad, S.; Kurths, J.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.