Community detection analysis in wind speed-monitoring systems using mutual information-based complex network

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Serval ID
serval:BIB_00C53764D2A7
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Community detection analysis in wind speed-monitoring systems using mutual information-based complex network
Journal
Chaos: An Interdisciplinary Journal of Nonlinear Science
Author(s)
Laib Mohamed, Guignard Fabian, Kanevski Mikhail, Telesca Luciano
ISSN
1054-1500
1089-7682
Publication state
Published
Issued date
04/2019
Peer-reviewed
Oui
Volume
29
Number
4
Pages
043107
Language
english
Abstract
A mutual information-based weighted network representation of a wide wind speed-monitoring system in Switzerland was analyzed in order to detect communities. Two communities have been revealed, corresponding to two clusters of sensors situated, respectively, on the Alps and on the Jura-Plateau that define the two major climatic zones of Switzerland. The silhouette measure is used to evaluate the obtained communities and confirm the membership of each sensor to its cluster.
Keywords
Mathematical Physics, General Physics and Astronomy, Applied Mathematics, Statistical and Nonlinear Physics
Create date
11/04/2019 23:41
Last modification date
01/07/2020 6:08
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