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Community detection analysis in wind speed-monitoring systems using mutual information-based complex network
Mohamed Laib1, Fabian Guignard1, Mikhail Kanevski1
1IDYST, Faculty of Geosciences and Environment, University of Lausanne, 1015 Lausanne, Switzerland.
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.
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