Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2008-03-06
Eur. Phys. J. B 65, 141-147 (2008)
Physics
Condensed Matter
Statistical Mechanics
7 pages, 9 figures; final version accepted for publication in EPJB
Scientific paper
10.1140/epjb/e2008-00305-8
In this paper, we define a stochastic Sierpinski gasket, on the basis of which we construct a network called random Sierpinski network (RSN). We investigate analytically or numerically the statistical characteristics of RSN. The obtained results reveal that the properties of RSN is particularly rich, it is simultaneously scale-free, small-world, uncorrelated, modular, and maximal planar. All obtained analytical predictions are successfully contrasted with extensive numerical simulations. Our network representation method could be applied to study the complexity of some real systems in biological and information fields.
Guan Jihong
Su Zhan
Zhang Zhongzhi
Zhou Shuigeng
Zou Tao
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