In this paper we aim to introduce the reader to some basic concepts and instruments used in a wide range of economic networks models. In particular, we adopt the theory of random networks as the main tool to describe the relationship between the organization of interaction among individuals...

In this paper we analyze the network structure that endogenously emerges in the credit market of the agent-based model of Riccetti et al. (2011), where two kinds of financial accelerators are at work: the “leverage accelerator” and the “network-based accelerator”. We focus on the...

In this paper the authors focus on credit connections as a potential source of systemic risk. In particular, they seek to answer the following question: how do we find densely connected subsets of nodes within a credit network? The question is relevant for policy, since these subsets are likely...

We build a statistical ensemble representation of two economic models describing respectively, in simplified terms, a payment system and a credit market. To this purpose we adopt the Boltzmann–Gibbs distribution where the role of the Hamiltonian is taken by the total money supply...

<em>A caccia di informazioni accurate sui «fantasmi». Una proposta per l’analisi del fabbisogno professionale e formativo</em> - In the debate on unemployment in European countries virtually all observers and policy makers agree on the utility of active labour policies, even if a clear proof of their...

<i>Le imprese dell’Ict in Toscana: profili competitivi e modelli innovativi</i> (by Leonardo Bargigli e Martina Cioni) - ABSTRACT: The impact and consequences of ICT revolution on global economies are actually under reconsideration due to the present crisis of the so-called new economy. But global...

Abstract Building upon the growing interest for complex network theory, the main ambition of this paper is to contribute to a more effective application of network theory to economic phenomena, and particularly to financial networks. We depart from recent contributions on credit networks in two...