TY  - JOUR
AV  - public
SN  - 2045-2322
ID  - eprints1543
EP  - 5
TI  - Evolution of controllability in interbank networks
SP  - 1
N2  - 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.
JF  - Scientific Reports
UR  - http://dx.doi.org/10.1038/srep01626
A1  - Delpini, Danilo
A1  - Battiston, Stefano 
A1  - Riccaboni, Massimo
A1  - Gabbi, Giampaolo
A1  - Pammolli, Fabio
A1  - Caldarelli, Guido
Y1  - 2013/04//
PB  - Nature Publishing Group
VL  - 3
IS  - 1626
ER  -