Community detection analysis in wind speed-monitoring systems using mutual information-based complex network.
| Autor: | Laib M; IDYST, Faculty of Geosciences and Environment, University of Lausanne, 1015 Lausanne, Switzerland., Guignard F; IDYST, Faculty of Geosciences and Environment, University of Lausanne, 1015 Lausanne, Switzerland., Kanevski M; IDYST, Faculty of Geosciences and Environment, University of Lausanne, 1015 Lausanne, Switzerland., Telesca L; CNR, Istituto di Metodologie per l'Analisi Ambientale, 85050 Tito, PZ, Italy. |
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| Jazyk: | angličtina |
| Zdroj: | Chaos (Woodbury, N.Y.) [Chaos] 2019 Apr; Vol. 29 (4), pp. 043107. |
| DOI: | 10.1063/1.5054724 |
| Abstrakt: | 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. |
| Databáze: | MEDLINE |
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