relation: http://eprints.imtlucca.it/1543/
title: Evolution of controllability in interbank networks
creator: Delpini, Danilo
creator: Battiston, Stefano 
creator: Riccaboni, Massimo
creator: Gabbi, Giampaolo
creator: Pammolli, Fabio
creator: Caldarelli, Guido
subject: HA Statistics
subject: HB Economic Theory
subject: QA Mathematics
subject: QC Physics
description: The Statistical Physics of Complex Networks has recently provided new theoretical tools for policy makers. Here we extend the notion of network controllability to detect the financial institutions, i.e. the drivers, that are most crucial to the functioning of an interbank market. The system we investigate is a paradigmatic case study for complex networks since it undergoes dramatic structural changes over time and links among nodes can be observed at several time scales. We find a scale-free decay of the fraction of drivers with increasing time resolution, implying that policies have to be adjusted to the time scales in order to be effective. Moreover, drivers are often not the most highly connected “hub” institutions, nor the largest lenders, contrary to the results of other studies. Our findings contribute quantitative indicators which can support regulators in developing more effective supervision and intervention policies.
publisher: Nature Publishing Group
date: 2013-04
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/1543/1/Scientific_Reports_Caldarelli_Pammolli_Riccaboni_2013.pdf
identifier:   Delpini, Danilo and Battiston, Stefano  and Riccaboni, Massimo and Gabbi, Giampaolo and Pammolli, Fabio and Caldarelli, Guido  Evolution of controllability in interbank networks.  Scientific Reports, 3 (1626).  pp. 1-5.  ISSN 2045-2322      (2013)  
relation: http://dx.doi.org/10.1038/srep01626
relation: 10.1038/srep01626