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.

  • Tackling information asymmetry in networks: a new entropy-based ranking index

    PBP. BaruccaGCG. CaldarelliTS Journal of Statistical Physics

    Information asymmetry

    Network users who have access to the network’s most informative node, as quantified by a novel index, the InfoRank, have a competitive edge.

  • Maximum one-shot dissipated work from Rényi divergences

    NHAGODO. DahlstenVV Physical Review E

    One-shot statistic

    One-shot analogs of fluctuation-theorem results help unify these two approaches for small-scale, nonequilibrium statistical physics.

  • From ecology to finance (and back?): a review on entropy-based null models for the analysis of bipartite networks

    MSGCG. CaldarelliTSFS Journal of Statistical Physics

    From ecology to finance

    Bipartite networks model the structures of ecological and economic real-world systems, enabling hypothesis testing and crisis forecasting.

  • Entropies of tailored random graph ensembles: bipartite graphs, generalized degrees, and node neighbourhoods

    ERACA. Coolen Journal of Physics A

    Entropies of graph ensembles

    Explicit formulae for the Shannon entropies of random graph ensembles provide measures to compare and reproduce their topological features.

  • Arxiv

    Transitions in loopy graphs

    The generation of large graphs with a controllable number of short loops paves the way for building more realistic random networks.