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

被引：40

作者：

Laib, Mohamed ^{[1
]}

Telesca, Luciano ^{[2
]}

Kanevski, Mikhail ^{[1
]}

机构：

[1] Univ Lausanne, Fac Geosci & Environm, IDYST, CH-1015 Lausanne, Switzerland

[2] CNR, Ist Metodol Anal Ambientale, I-85050 Tito, PZ, Italy

来源：

CHAOS | 2018年 / 28卷 / 03期

关键词：

RECORDS;

D O I：

10.1063/1.5022737

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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. Published by AIP Publishing.

引用

页数：10

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