Renormalization of networks with weak geometric coupling

Fuente: arXiv
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Autori principali: van der Kolk, Jasper, Boguñá, Marián, Serrano, M. Ángeles
Natura: Preprint
Pubblicazione: 2024
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author van der Kolk, Jasper
Boguñá, Marián
Serrano, M. Ángeles
author_facet van der Kolk, Jasper
Boguñá, Marián
Serrano, M. Ángeles
contents The Renormalization Group is crucial for understanding systems across scales, including complex networks. Renormalizing networks via network geometry, a framework in which their topology is based on the location of nodes in a hidden metric space, is one of the foundational approaches. However, the current methods assume that the geometric coupling is strong, neglecting weak coupling in many real networks. This paper extends renormalization to weak geometric coupling, showing that geometric information is essential to preserve self-similarity. Our results underline the importance of geometric effects on network topology even when the coupling to the underlying space is weak.
format Preprint
id arxiv_https___arxiv_org_abs_2403_12663
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Renormalization of networks with weak geometric coupling
van der Kolk, Jasper
Boguñá, Marián
Serrano, M. Ángeles
Physics and Society
Disordered Systems and Neural Networks
The Renormalization Group is crucial for understanding systems across scales, including complex networks. Renormalizing networks via network geometry, a framework in which their topology is based on the location of nodes in a hidden metric space, is one of the foundational approaches. However, the current methods assume that the geometric coupling is strong, neglecting weak coupling in many real networks. This paper extends renormalization to weak geometric coupling, showing that geometric information is essential to preserve self-similarity. Our results underline the importance of geometric effects on network topology even when the coupling to the underlying space is weak.
title Renormalization of networks with weak geometric coupling
topic Physics and Society
Disordered Systems and Neural Networks
url https://arxiv.org/abs/2403.12663