Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
Statistical physics contributes to new models and metrics for the study of financial network structure, dynamics, stability and instability.
The generation of large graphs with a controllable number of short loops paves the way for building more realistic random networks.
Analysis of the hyperbolicity of real-world networks distinguishes between those which are aristocratic and those which are democratic.
Complex networks detect the driver institutions of an interbank market and ascertain that intervention policies should be time-scale dependent.
Edge multiplicity—the number of triangles attached to edges—is a powerful analytic tool to understand and generalize network properties.