Unsupervised spectral clustering for hierarchical modelling and criticality analysis of complex networks

Yi-Ping Fang and Enrico Zio

Reliability Engineering and System Safety, 2013, vol. 116, issue C, 64-74

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.

Keywords: Critical infrastructures; Complex networks; Criticality analysis; Centrality measures; Spectral clustering; Hierarchical modelling (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:116:y:2013:i:c:p:64-74

DOI: 10.1016/j.ress.2013.02.021

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