relation: http://eprints.imtlucca.it/3392/
title: Bootstrapping Topological Properties and Systemic Risk of Complex Networks Using the Fitness Model
creator: Musmeci, Nicolò
creator: Battiston, Stefano
creator: Caldarelli, Guido
creator: Puliga, Michelangelo
creator: Gabrielli, Andrea
subject: QC Physics
description: 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
publisher: Springer
date: 2013
type: Article
type: PeerReviewed
format: application/pdf
language: en
rights: cc_by_nc_sa
identifier: http://eprints.imtlucca.it/3392/1/1209.6459v1.pdf
identifier:   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)  
relation: http://link.springer.com/article/10.1007%2Fs10955-013-0720-1
relation: 10.1007/s10955-013-0720-1