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Published Online: 12 March 2018
Accepted: February 2018

Long-range fluctuations and multifractality in connectivity density time series of a wind speed monitoring network

Chaos 28, 033108 (2018); https://doi.org/10.1063/1.5022737
Mohamed Laib1,a), Luciano Telesca2, and Mikhail Kanevski1
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ABSTRACT
This paper studies the daily connectivity time series of a wind speed-monitoring network using multifractal detrended fluctuation analysis. It investigates the long-range fluctuation and multifractality in the residuals of the connectivity time series. Our findings reveal that the daily connectivity of the correlation-based network is persistent for any correlation threshold. Further, the multifractality degree is higher for larger absolute values of the correlation threshold.

ACKNOWLEDGMENTS

The authors thank MeteoSwiss for the accessibility to the data via the IDAWEB server. They also are grateful to the anonymous reviewers for their constructive comments that contributed to improving the paper.
This research was partly supported by the Swiss Government Excellence Scholarships. L.T. thanks the support of Herbette Foundation.

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  39. Published by AIP Publishing.

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