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

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

References in corpus (2)

• Complex networks in climate dynamics - Comparing linear and nonlinear network construction methods
• The backbone of the climate network

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