| Literature DB >> 29604641 |
Mohamed Laib1, Luciano Telesca2, Mikhail Kanevski1.
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.Year: 2018 PMID: 29604641 DOI: 10.1063/1.5022737
Source DB: PubMed Journal: Chaos ISSN: 1054-1500 Impact factor: 3.642