In this chapter, we review and compare some methods for the reconstruction of an interbank network from limited information. By exploiting the theory of complex networks and some ideas from statistical physics, we mainly focus on three different methods based on the maximum entropy principle, the relative entropy minimization, and the fitness model. We apply our analysis to the credit network of electronic Market for Interbank Deposit (e-MID) in 2011. In comparing the goodness of fit of the proposed methods, we look at the topological network properties and how reliably each method reproduces the real-world network.

Methods for Reconstructing Interbank Networks from Limited Information: A Comparison

Mazzarisi, Piero;LILLO, FABRIZIO
2017

Abstract

In this chapter, we review and compare some methods for the reconstruction of an interbank network from limited information. By exploiting the theory of complex networks and some ideas from statistical physics, we mainly focus on three different methods based on the maximum entropy principle, the relative entropy minimization, and the fitness model. We apply our analysis to the credit network of electronic Market for Interbank Deposit (e-MID) in 2011. In comparing the goodness of fit of the proposed methods, we look at the topological network properties and how reliably each method reproduces the real-world network.
2017
Econophysics and Sociophysics: Recent Progress and Future Directions
Springer
Interbank market; complex network; maximum entropy
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/83596
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