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

被引：39
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.
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页数：10
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