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
-
Affiliation as printed
Instituut-Lorentz for Theoretical Physics, Leiden University, Niels Bohrweg 2, 2333 CA Leiden, the Netherlands
-
IMT School for Advanced Studies Lucca
Affiliation as printed
IMT School for Advanced Studies, Piazza S. Francesco 19, 55100 Lucca, Italy
-
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
Cited by 13 stored of 13
13 results
No patents citing this paper on Lens.org (checked 2026-10-11).
References 82
-
W3102641634details pending0citations
-
W2964326681details pending0citations
-
W3100434839details pending0citations
-
W1982655627details pending0citations
-
W2963652427details pending0citations
-
W3099566860details pending0citations
-
W3101134365details pending0citations
-
W3102255863details pending0citations
-
W3105260096details pending0citations