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

TL;DR

This paper presents a method using mutual information-based complex networks to detect communities in wind speed monitoring systems, revealing two major climatic zones in Switzerland through sensor clustering.

Contribution

The study introduces a novel application of mutual information-based network analysis for community detection in wind speed monitoring data.

Findings

Two distinct sensor communities identified in Switzerland.

Communities correspond to Alps and Jura-Plateau climatic zones.

Silhouette measure confirms community membership accuracy.

Abstract

A mutual information-based weighted network representation of a wide wind speed monitoring system in Switzerland was analysed 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.