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

Détails

Ressource 1Télécharger: 1.5054724.pdf (2734.96 [Ko])
Etat: Public
Version: Final published version
Licence: Non spécifiée
ID Serval
serval:BIB_00C53764D2A7
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Community detection analysis in wind speed-monitoring systems using mutual information-based complex network
Périodique
Chaos: An Interdisciplinary Journal of Nonlinear Science
Auteur(s)
Laib Mohamed, Guignard Fabian, Kanevski Mikhail, Telesca Luciano
ISSN
1054-1500
1089-7682
Statut éditorial
Publié
Date de publication
04/2019
Peer-reviewed
Oui
Volume
29
Numéro
4
Pages
043107
Langue
anglais
Résumé
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.
Mots-clé
Mathematical Physics, General Physics and Astronomy, Applied Mathematics, Statistical and Nonlinear Physics
Création de la notice
12/04/2019 0:41
Dernière modification de la notice
01/07/2020 7:08
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