In the past 15 years, statistical physics has been successful as a framework for modelling
complex networks. On the theoretical side, this approach has unveiled a variety of physical …

Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

The interbank market has a natural multiplex network representation. We employ a unique
database of supervisory reports on Italian banks to the Banca d'Italia that includes all …

The global financial system can be represented as a large complex network in which banks,
hedge funds and other financial institutions are interconnected to each other through visible …

We present a scalable nonparametric Bayesian method to perform network reconstruction
from observed functional behavior that at the same time infers the communities present in …

Within the last fifteen years, network theory has been successfully applied both to natural
sciences and to socioeconomic disciplines. In particular, bipartite networks have been …

In this paper, we develop a multilayer network structure and reveal the relationship between
network structure and systemic risk. Unlike many previous studies, our model considers both …

Capturing financial network linkages and contagion in stress test models are important goals
for banking supervisors and central banks responsible for micro-and macroprudential policy …

Network models, stress testing methods and early warning systems are attracting growing
interest both among scholars and practitioners. In this short paper, we illustrate some of the …

We address a fundamental problem that is systematically encountered when modeling real-
world complex systems of societal relevance: the limitedness of the information available. In …