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