Finding recurrence networks' threshold adaptively for a specific time series
2014 ◽
Vol 21
(6)
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pp. 1085-1092
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Keyword(s):
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.
2014 ◽
Vol 1
(1)
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pp. 803-822
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2002 ◽
Vol 9
(3/4)
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pp. 325-331
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1994 ◽
Vol 76
(2)
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pp. 965-973
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2021 ◽
Keyword(s):
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2018 ◽
Vol 28
(01)
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pp. 1850008
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