CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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Search for Directed Networks by Different Random Walk Strategies |
ZHU Zi-Qi, JIN Xiao-Ling**, HUANG Zhi-Long |
Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027
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Cite this article: |
ZHU Zi-Qi, JIN Xiao-Ling, HUANG Zhi-Long 2012 Chin. Phys. Lett. 29 038901 |
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Abstract A comparative study is carried out on the efficiency of five different random walk strategies searching on directed networks constructed based on several typical complex networks. Due to the difference in search efficiency of the strategies rooted in network clustering, the clustering coefficient in a random walker's eye on directed networks is defined and computed to be half of the corresponding undirected networks. The search processes are performed on the directed networks based on Erdös–Rényi model, Watts–Strogatz model, Barabási–Albert model and clustered scale-free network model. It is found that self-avoiding random walk strategy is the best search strategy for such directed networks. Compared to unrestricted random walk strategy, path-iteration-avoiding random walks can also make the search process much more efficient. However, no-triangle-loop and no-quadrangle-loop random walks do not improve the search efficiency as expected, which is different from those on undirected networks since the clustering coefficient of directed networks are smaller than that of undirected networks.
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Keywords:
89.75.Hc
05.40.Fb
89.75.Fb
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Received: 27 July 2011
Published: 11 March 2012
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PACS: |
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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89.75.Fb
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(Structures and organization in complex systems)
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