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20172024
most citedLaplacian Renormalization Group for heterogeneous networks

72 citations · 139 across the 11 of their papers we have counts for

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Showing cond-mat.stat-mechShow all

5 papers · 1 filter

cond-mat.stat-mech2023

Noise-cleaning the precision matrix of fMRI time series

Miguel Ibáñez-Berganza, Carlo Lucibello, Francesca Santucci +2

We present a comparison between various algorithms of inference of covariance and precision matrices in small datasets of real vectors, of the typical length and dimension of human…

cond-mat.stat-mech2023★ 10 cited

Evidence of scale-free clusters of vegetation in tropical rainforests

Pablo Villegas, Tommaso Gili, Guido Caldarelli +1

Tropical rainforests exhibit a rich repertoire of spatial patterns emerging from the intricate relationship between the microscopic interaction between species. In particular, the…

cond-mat.stat-mech2022★ 3 cited

Characterizing spatial point processes by percolation transitions

Pablo Villegas, Tommaso Gili, Andrea Gabrielli +1

A set of discrete individual points located in an embedding continuum space can be seen as percolating or non-percolating, depending on the radius of the discs/spheres associated w…

cond-mat.stat-mech2022★ 72 cited

Laplacian Renormalization Group for heterogeneous networks

Pablo Villegas, Tommaso Gili, Guido Caldarelli +1

The renormalization group is the cornerstone of the modern theory of universality and phase transitions, a powerful tool to scrutinize symmetries and organizational scales in dynam…

cond-mat.stat-mech2021★ 9 cited

Emergent spatial patterns of coexistence in species-rich plant communities

Pablo Villegas, Tommaso Gili, Guido Caldarelli

Statistical Physics has proved essential to analyze multi-agent environments. Motivated by the empirical observation of various non-equilibrium features in Barro Colorado and other…