INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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Random walks in generalized delayed recursive trees |
Sun Wei-Gang (孙伟刚)a, Zhang Jing-Yuan (张静远)a, Chen Guan-Rong (陈关荣)b |
a Institute of Applied Mathematics and Engineering Computations, Hangzhou Dianzi University, Hangzhou 310018, China; b Department of Electronic Engineering, City University of Hong Kong, SAR, Hong Kong, China |
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Abstract Recently a great deal of effort has been made to explicitly determine the mean first-passage time (MFPT) between two nodes averaged over all pairs of nodes on a fractal network. In this paper, we first propose a family of generalized delayed recursive trees characterized by two parameters, where the existing nodes have a time delay to produce new nodes. We then study the MFPT of random walks on this kind of recursive tree and investigate the effect of the time delay on the MFPT. By relating random walks to electrical networks, we obtain an exact formula for the MFPT and verify it by numerical calculations. Based on the obtained results, we further show that the MFPT of delayed recursive trees is much shorter, implying that the efficiency of random walks is much higher compared with the non-delayed counterpart. Our study provides a deeper understanding of random walks on delayed fractal networks.
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Received: 08 March 2013
Revised: 13 April 2013
Accepted manuscript online:
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PACS:
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89.75.Fb
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(Structures and organization in complex systems)
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89.75.Hc
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(Networks and genealogical trees)
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05.40.Fb
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(Random walks and Levy flights)
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Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61203155 and 11232005), the Natural Science Foundation of Zhejiang Province, China (Grant No. LQ12F03003), and the Hong Kong Research Grants Council under the GRF Grant CityU (Grant No. 1109/12). |
Corresponding Authors:
Sun Wei-Gang
E-mail: wgsun@hdu.edu.cn
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Cite this article:
Sun Wei-Gang (孙伟刚), Zhang Jing-Yuan (张静远), Chen Guan-Rong (陈关荣) Random walks in generalized delayed recursive trees 2013 Chin. Phys. B 22 108904
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