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)
|
PDF (arXiv version)
- Accepted Version
Available under License Creative Commons Attribution Non-commercial Share Alike. Download (442kB) | Preview |
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: | https://doi.org/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 |
Actions (login required)
 |
Edit Item |
