The spectral dimension of simplicial complexes: a renormalization group theory
Disordered Systems and Neural Networks
2020-02-19 v3 Statistical Mechanics
Social and Information Networks
Physics and Society
Machine Learning
Abstract
Simplicial complexes are increasingly used to study complex system structure and dynamics including diffusion, synchronization and epidemic spreading. The spectral dimension of the graph Laplacian is known to determine the diffusion properties at long time scales. Using the renormalization group here we calculate the spectral dimension of the graph Laplacian of two classes of non-amenable dimensional simplicial complexes: the Apollonian networks and the pseudo-fractal networks. We analyse the scaling of the spectral dimension with the topological dimension for and we point out that randomness such as the one present in Network Geometry with Flavor can diminish the value of the spectral dimension of these structures.
Keywords
Cite
@article{arxiv.1910.12566,
title = {The spectral dimension of simplicial complexes: a renormalization group theory},
author = {Ginestra Bianconi and Sergey N. Dorogovtsev},
journal= {arXiv preprint arXiv:1910.12566},
year = {2020}
}
Comments
(30 pages, 5 figures)