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Bootstrapping Topological Properties and Systemic Risk of Complex Networks Using the Fitness Model

Musmeci, Nicolò and Battiston, Stefano and Caldarelli, Guido and Puliga, Michelangelo and Gabrielli, Andrea Bootstrapping Topological Properties and Systemic Risk of Complex Networks Using the Fitness Model. Journal of Statistical Physics, 151 (3). pp. 720-734. ISSN 0022-4715 (2013)

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Abstract

In this paper we present a novel method to reconstruct global topological properties of a complex network starting from limited information. We assume to know for all the nodes a non-topological quantity that we interpret as fitness. In contrast, we assume to know the degree, i.e. the number of connections, only for a subset of the nodes in the network. We then use a fitness model, calibrated on the subset of nodes for which degrees are known, in order to generate ensembles of networks. Here, we focus on topological properties that are relevant for processes of contagion and distress propagation in networks, i.e. network density and k-core structure, and

Item Type: Article
Identification Number: 10.1007/s10955-013-0720-1
Projects: EC FET Open Project “FOC” No. 255987
Uncontrolled Keywords: Complex networks; Financial systems
Subjects: Q Science > QC Physics
Research Area: Computer Science and Applications
Depositing User: Caterina Tangheroni
Date Deposited: 07 Apr 2016 09:17
Last Modified: 07 Apr 2016 09:17
URI: http://eprints.imtlucca.it/id/eprint/3392

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