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ECOLE SUPÉRIEURE D'ÉLECTRICITÉ Une grande école d'ingénieurs au cœur des sciences de l'information,de l'énergie et des systèmes |
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Journal articles
Unsupervised spectral clustering for hierarchical modelling and criticality analysis of complex networks
Abstract : Infrastructure networks are essential to the socioeconomic development of any country. This article applies clustering analysis to extract the inherent structural properties of realistic-size infrastructure networks. Network components with high criticality are identified and a general hierarchical modelling framework is developed for representing the networked system into a scalable hierarchical structure of corresponding fictitious networks. This representation makes a multi-scale criticality analysis possible, beyond the widely used component-level criticality analysis, whose results obtained from zoom-in analysis can support confident decision making.
Cited literature [52 references]
https://hal-supelec.archives-ouvertes.fr/hal-00838315
Contributor : Yanfu Li Connect in order to contact the contributor
Submitted on : Tuesday, June 25, 2013 - 11:50:29 AM
Last modification on : Saturday, May 8, 2021 - 3:26:54 AM
Contributor : Yanfu Li Connect in order to contact the contributor
Submitted on : Tuesday, June 25, 2013 - 11:50:29 AM
Last modification on : Saturday, May 8, 2021 - 3:26:54 AM
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