A unified model for Sierpinski networks with scale-free scaling and small-world effect

A unified model for Sierpinski networks with scale-free scaling and small-world effect
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具有无标度缩放和小世界效应的 Sierpinski 网络的统一模型

DOI:
10.1016/j.physa.2009.03.005
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发表时间:
2009-03
影响因子:
3.3
通讯作者:
--
中科院分区:
物理与天体物理2区
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--
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本文提出了一种演化Sierpinski垫片,并在此基础上建立了一个统一确定性Sierpinski网络的演化Sierpinski网络模型[Z.Z.张士元Zhou,T. Zou,L.C.陈建辉Guan,Eur. Phys. J. B 60(2007)259]和随机Sierpinski网络[Z.Z.张士元Zhou,Z. Su,T. Zou,J.H. Guan,Eur. Phys.J. B 65(2008)141]中所述的方法。我们建议一个迭代算法产生的ESN。在此基础上,对所提出的网络的有关性质进行了计算或解析预测。分析结果表明,所考虑的网络遵循幂律度分布,分布指数在很大范围内连续调整。得到的聚类系数的精确表达式以及平均路径长度的预测表明ESN具有小世界效应。我们所有的理论结果都成功地与数值模拟进行了对比。此外,还研究了进化囚徒困境博弈中ESN的一些局限性,即, 确定性Sierpinski网络和随机Sierpinski网络。
In this paper, we propose an evolving Sierpinski gasket, based on which we establish a model of evolutionary Sierpinski networks (ESNs) that unifies deterministic Sierpinski network [Z.Z. Zhang, S.G. Zhou, T. Zou, L.C. Chen, J.H. Guan, Eur. Phys. J. B 60 (2007) 259] and random Sierpinski network [Z.Z. Zhang, S.G. Zhou, Z. Su, T. Zou, J.H. Guan, Eur. Phys. J. B 65 (2008) 141] to the same framework. We suggest an iterative algorithm generating the ESNs. On the basis of the algorithm, some relevant properties of presented networks are calculated or predicted analytically. Analytical solution shows that the networks under consideration follow a power-law degree distribution, with the distribution exponent continuously tuned in a wide range. The obtained accurate expression of clustering coefficient, together with the prediction of average path length reveals that the ESNs possess small-world effect. All our theoretical results are successfully contrasted by numerical simulations. Moreover, the evolutionary prisoner’s dilemma game is also studied on some limitations of the ESNs, i.e., deterministic Sierpinski network and random Sierpinski network.
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