Unveiling the Dimensionality of Networks of Networks
Statistical Mechanics
2025-10-24 v1 Disordered Systems and Neural Networks
Physics and Society
Abstract
"Every object that biology studies is a system of systems." (Fran\c{c}ois Jacob, 1974). Most networks feature intricate architectures originating from tinkering, a repetitive use of existing components where structures are not invented but reshaped. Still, linking the properties of primitive components to the emergent behavior of composite networks remains a key open challenge. Here, by composing scale-invariant networks, we show how tinkering decouples Fiedler and spectral dimensions, hitherto considered identical, providing valuable insights into mesoscopic and macroscopic collective regimes.
Keywords
Cite
@article{arxiv.2510.20520,
title = {Unveiling the Dimensionality of Networks of Networks},
author = {Lorenzo Grimaldi and Pablo Villegas and Alessandro Vezzani and Raffaella Burioni and Davide Cassi and Andrea Gabrielli},
journal= {arXiv preprint arXiv:2510.20520},
year = {2025}
}
Comments
7 pages and 4 figures