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.

icon
  • 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.

  • PBP. BaruccaFLPMDT Journal of Statistical Mechanics

    Disentangling links in networks

    Inference from single snapshots of temporal networks can misleadingly group communities if the links between snapshots are correlated.

  • Hierarchical mutual information for the comparison of hierarchical community structures in complex networks.

    JPCTGCG. Caldarelli Physical Review E

    Communities in networks

    A new tool derived from information theory quantitatively identifies trees, hierarchies and community structures within complex networks.

  • Quantifying noise in mass spectrometry and yeast two-hybrid protein interaction detection experiments

    AAACA. CoolenNP Journal of the Royal Society Interface

    Protein interaction experiments

    Properties of protein interaction networks test the reliability of data and hint at the underlying mechanism with which proteins recruit each other.

  • ESAIM: Proceedings and surveys

    Random graphs with short loops

    The analysis of real networks which contain many short loops requires novel methods, because they break the assumptions of tree-like models.

  • PLOS ONE

    Self-healing complex networks

    The interplay between redundancies and smart reconfiguration protocols can improve the resilience of networked infrastructures to failures.

  • Nature Physics

    Reconstructing credit

    New mathematical tools can help infer financial networks from partial data to understand the propagation of distress through the network.

  • Physical Review E

    Weighted network evolution

    A statistical procedure identifies dominant edges within weighted networks to determine whether a network has reached its steady state.

  • Scientific Reports

    Metric for fitness and complexity

    A quantitative assessment of the non-monetary advantage of diversification represents a country’s hidden potential for development and growth.

  • EPL

    Clustering inverted

    Edge multiplicity—the number of triangles attached to edges—is a powerful analytic tool to understand and generalize network properties.