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Chin. Phys. B, 2012, Vol. 21(3): 038901    DOI: 10.1088/1674-1056/21/3/038901
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev   Next  

Exact scaling for the mean first-passage time of random walks on a generalized Koch network with a trap

Zhang Jing-Yuan(张静远)a), Sun Wei-Gang(孙伟刚) a)†, and Chen Guan-Rong(陈关荣)b)
a. School of Science, Hangzhou Dianzi University, Hangzhou 310018, China;
b. Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China
Abstract  In this paper, we study the scaling for the mean first-passage time (MFPT) of the random walks on a generalized Koch network with a trap. Through the network construction, where the initial state is transformed from a triangle to a polygon, we obtain the exact scaling for the MFPT. We show that the MFPT grows linearly with the number of nodes and the dimensions of the polygon in the large limit of the network order. In addition, we determine the exponents of scaling efficiency characterizing the random walks. Our results are the generalizations of those derived for the Koch network, which shed light on the analysis of random walks over various fractal networks.
Keywords:  mean first-passage time      random walks      Koch networks  
Received:  13 November 2011      Revised:  09 December 2011      Accepted manuscript online: 
PACS:  89.75.Hc (Networks and genealogical trees)  
  05.40.Fb (Random walks and Levy flights)  
  05.10.-a (Computational methods in statistical physics and nonlinear dynamics)  
Fund: Project supported by the Research Foundation of Hangzhou Dianzi University, China (Grant Nos. KYF075610032 and zx100204004-7) and the Hong Kong Research Grants Council, China (Grant No. CityU 1114/11E).
Corresponding Authors:  Sun Wei-Gang,wgsun999@yahoo.com.cn     E-mail:  wgsun999@yahoo.com.cn

Cite this article: 

Zhang Jing-Yuan(张静远), Sun Wei-Gang(孙伟刚), and Chen Guan-Rong(陈关荣) Exact scaling for the mean first-passage time of random walks on a generalized Koch network with a trap 2012 Chin. Phys. B 21 038901

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