A geometric growth model interpolating between regular and small-world networks
Statistical Mechanics
2007-09-11 v1
Abstract
We propose a geometric growth model which interpolates between one-dimensional linear graphs and small-world networks. The model undergoes a transition from large to small worlds. We study the topological characteristics by both theoretical predictions and numerical simulations, which are in good accordance with each other. Our geometrically growing model is a complementarity for the static WS model.
Cite
@article{arxiv.cond-mat/0701231,
title = {A geometric growth model interpolating between regular and small-world networks},
author = {Zhongzhi Zhang and Shuigeng Zhou and Zhiyong Wang and Zhen Shen},
journal= {arXiv preprint arXiv:cond-mat/0701231},
year = {2007}
}
Comments
10 pages, 6 figures