Scaling properties of d-dimensional complex networks
Samura\'i Brito, Thiago C. Nunes, Luciano R. da Silva, Constantino, Tsallis

TL;DR
This study investigates the scaling properties of $d$-dimensional geographically located networks with preferential attachment, revealing three regimes based on the ratio $rac{ ext{alpha}_A}{d}$, characterized by different interaction ranges and degree distribution behaviors.
Contribution
It introduces a comprehensive numerical analysis of $d$-dimensional geographically located networks, identifying distinct regimes and scaling laws based on the ratio $rac{ ext{alpha}_A}{d}$, which was not previously characterized.
Findings
Three regimes identified based on $rac{ ext{alpha}_A}{d}$ ratio.
Degree distribution follows a $q$-exponential in the first two regimes.
Critical values of $rac{ ext{alpha}_A}{d}$ are 1 and 1/2 for different properties.
Abstract
The area of networks is very interdisciplinary and exhibits many applications in several fields of science. Nevertheless, there are few studies focusing on geographically located -dimensional networks. In this paper, we study scaling properties of a wide class of -dimensional geographically located networks which grow with preferential attachment involving Euclidean distances through . We have numerically analyzed the time evolution of the connectivity of sites, the average shortest path, the degree distribution entropy, and the average clustering coefficient, for , and typical values of . Remarkably enough, virtually all the curves can be made to collapse as functions of the scaled variable . These observations confirm the existence of three regimes. The first one occurs in the interval $\alpha_A/d \in…
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