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.

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  • 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.

  • 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.

  • Bootstrapping topology and systemic risk of complex networks using the fitness model

    NMSBGCG. CaldarelliMPAG Journal of Statistical Physics

    Bootstrapping topology and risk

    Information about 10% of the links in a complex network is sufficient to reconstruct its main features and resilience with the fitness model.