Title of article :
A unified model for Sierpinski networks with scale-free scaling and small-world effect
Author/Authors :
Jihong Guan ، نويسنده , , Yuewen Wu، نويسنده , , Zhongzhi Zhang، نويسنده , , Shuigeng Zhou ، نويسنده , , Yonghui Wu، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
8
From page :
2571
To page :
2578
Abstract :
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.
Journal title :
Physica A Statistical Mechanics and its Applications
Serial Year :
2009
Journal title :
Physica A Statistical Mechanics and its Applications
Record number :
873160
Link To Document :
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