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Multiscale network renormalization: Scale-invariance without geometry

Physical Review Research, vol. 5

Abstract

Systems with lattice geometry can be renormalized exploiting their coordinates in metric space, which naturally define the coarse-grained nodes. By contrast, complex networks defy the usual techniques, due to their small-world character and lack of explicit geometric embedding. Current network renormalization approaches require strong assumptions (e.g., community structure, hyperbolicity, scale-free topology), thus remaining incompatible with generic graphs and ordinary lattices. Here we introduce a graph renormalization scheme valid for any hierarchy of heterogeneous coarse-grainings, thereby allowing for the definition of ``block-nodes'' across multiple scales. This approach identifies a class of scale-invariant networks characterized by a necessary and specific dependence on additive hidden variables attached to nodes, plus optional dyadic factors. If the hidden variables are annealed, they lead to realistic scale-free networks with assortativity and finite local clustering, even in the sparse regime and in the absence of geometry. If they are quenched, they can guide the renormalization of real-world networks with node attributes and distance-dependence or communities. As an application, we derive an accurate multiscale model of the International Trade Network applicable across arbitrary geographic partitions. These results highlight a deep conceptual distinction between scale-free and scale-invariant networks, and they provide a geometry-free route to renormalization.

Authors 3

  1. Leiden University

    Affiliation as printed

    Instituut-Lorentz for Theoretical Physics, Leiden University, Niels Bohrweg 2, 2333 CA Leiden, the Netherlands

  2. IMT School for Advanced Studies Lucca

    Affiliation as printed

    IMT School for Advanced Studies, Piazza S. Francesco 19, 55100 Lucca, Italy

  3. Leiden University · IMT School for Advanced Studies Lucca · Istituto Nazionale di Alta Matematica Francesco Severi · Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni

    Affiliation as printed

    IMT School for Advanced Studies, Piazza S. Francesco 19, 55100 Lucca, Italy

    INdAM-GNAMPA Istituto Nazionale di Alta Matematica, Italy

    Instituut-Lorentz for Theoretical Physics, Leiden University, Niels Bohrweg 2, 2333 CA Leiden, the Netherlands

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References 82