@misc{10481/103499,
year = {2025},
month = {12},
url = {https://hdl.handle.net/10481/103499},
abstract = {Scale invariance profoundly influences the dynamics and structure of complex systems, spanning from
critical phenomena to network architecture. Here, we propose a precise definition of scale-invariant
networks by leveraging the concept of a constant entropy-loss rate across scales in a renormalization-group
coarse-graining setting. This framework enables us to differentiate between scale-free and scale-invariant
networks, revealing distinct characteristics within each class. Furthermore, we offer a comprehensive
inventory of genuinely scale-invariant networks, both natural and artificially constructed, demonstrating,
e.g., that the human connectome exhibits notable features of scale invariance. Our findings open new
avenues for exploring the scale-invariant structural properties crucial in biological and sociotechnological
systems.},
organization = {EDRF/EU funds},
organization = {European Union (EU)
	CUP: F53D23010380001},
organization = {"Ministerio de Ciencia, Innovacion y Universidades" and the "Agencia Estatal de Investigacion (AEI) " under Project Ref. PID2020- 113681 GB-I00 funded by MICIN/AEI/10.13039/501100011033},
organization = {Grant No. PID2023-149174NB-I00 financed by MICIU/AEI/10.13039/501100011033},
publisher = {American Physical Society},
title = {Networks with Many Structural Scales: A Renormalization Group Perspective},
doi = {10.1103/PhysRevLett.134.057401},
author = {Poggialini, Anna and Villegas Góngora, Pablo and Muñoz Martínez, Miguel Ángel and Gabrielli, Andrea},
}