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