Fuzzy weighted recurrence networks of time series

Tuan D. Pham

Physica A: Statistical Mechanics and its Applications, 2019, vol. 513, issue C, 409-417

Abstract: The concept of networks in the context of graph theory delineates a wide variety of real-life complex systems. The theory of networks finds its applications very useful in many scientific and intellectual domains. Weighted networks can characterize complex statistical graph properties, particularly where node connections are heterogeneous. A framework of fuzzy weighted recurrence networks of time series is presented in this letter. Popular graph measures including the average clustering coefficient and characteristic path length of fuzzy weighted recurrence networks are shown to be more robust than those of unweighted recurrence networks derived from binary recurrence plots.

Keywords: Time series; Nonlinear dynamics; Fuzzy recurrence plots; Fuzzy weighted recurrence networks (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:513:y:2019:i:c:p:409-417

DOI: 10.1016/j.physa.2018.09.035

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