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

Yi-Ping Fang (1) , Enrico Zio (1)

1 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec

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.

Domaines: Autre

Yi-Ping Fang, Enrico Zio. Unsupervised spectral clustering for hierarchical modelling and criticality analysis of complex networks. Reliability Engineering and System Safety, 2013, 116, pp.64-74. ⟨10.1016/j.ress.2013.02.021⟩. ⟨hal-00838315⟩