Long-range fluctuations and multifractality in connectivity density time series of a wind speed monitoring network
Mohamed Laib, Luciano Telesca, Mikhail Kanevski
TL;DR
This study analyzes the long-range fluctuations and multifractal properties of daily connectivity data in a wind speed monitoring network, revealing persistent correlations and threshold-dependent multifractality.
Contribution
It introduces a multifractal analysis of connectivity time series in wind networks, highlighting the persistence and threshold effects on multifractality.
Findings
Connectivity is persistent across thresholds
Multifractality degree increases with larger thresholds
Long-range correlations are present in the data
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
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