Scaling of disordered recursive networks

TL;DR

This paper introduces disordered recursive networks, analyzes their fractal and transfinite fractal properties, and explores how disorder affects their scaling behavior and diffusion processes.

Contribution

It presents a disordered variant of recursive networks, deriving analytical and simulation results on their fractal dimensions and diffusion scaling, highlighting differences from ordered networks.

Findings

Transfractal dimension scales as 1/(u+v-1).

Fractal dimension approaches 3 for large u with u=v.

Diffusion time scales as N^{(d_f+1)/d_f} or (1/tilde{d}_f)N depending on network type.

Abstract

In this brief report, we present a disordered version of recursive networks. Depending on the structural parameters $u$ and $v$, the networks are either fractals with a finite fractal dimension $d_{f}$ or transfinite fractals (transfractal) with a infinite fractal dimension. The scaling behavior of degree and dimensionality are studied analytically and by simulations, which are found to be different from those in ordered recursive networks. The transfractal dimension $\tilde{d}_f$, which is recently introduced to distinguish the differences between networks with infinite fractal dimension, scales as $\tilde{d}_f\sim \frac{1}{u+v-1}$ for transfractal networks. Interestingly, the fractal dimension for fractal networks with $u=v$ is found to approach 3 in large limit of $u$, which is thought to be the effect of disorder. We also investigate the diffusion process on this family of networks, and the scaling behavior of diffusion time is observed numercally as $\tau\sim N^{(d_{f}+1)/d_{f}}$ for fractal networks and $\tau\sim \frac{1}{\tilde{d}_f}N$ for transfractal ons. We think that the later relation will give a further understanding of transfractal dimension.