TY  - JOUR
EP  - 734
AV  - public
SP  - 720
A1  - Musmeci, Nicoḷ
A1  - Battiston, Stefano
A1  - Caldarelli, Guido
A1  - Puliga, Michelangelo
A1  - Gabrielli, Andrea
TI  - Bootstrapping Topological Properties and Systemic Risk of Complex Networks Using the Fitness Model
N2  - 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
IS  - 3
VL  - 151
JF  - Journal of Statistical Physics
ID  - eprints3392
UR  - http://link.springer.com/article/10.1007%2Fs10955-013-0720-1
PB  - Springer
KW  - Complex networks; Financial systems
SN  - 0022-4715
Y1  - 2013///
ER  -