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    Identifying critical infrastructure clusters via spectral analysis

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    In this paper we discuss how to identify groups composed of strictly dependent infrastructures or subsystems. To this end we suggest the use of spectral clustering methodologies, which allow to partition a set of elements in groups with strong intra-group connections and loose inter-group coupling. Moreover, the methodology allows to calculate in an automatic way a suitable number of subsets in which the network can be decomposed. The method has been applied to the Italian situation to identify, on the base of the Inoperability Input-Output model, which are the most relevant set of infrastructures. The same approach has been applied also to partition in a suitable way a network, as illustrated with respect to the IEEE 118 Bus Test Case electric grid
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