CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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Fractal Analysis of Mobile Social Networks |
Wei Zheng1,2**, Qian Pan1, Chen Sun1, Yu-Fan Deng1, Xiao-Kang Zhao1, Zhao Kang1 |
1School Of Software, Nanchang Hangkong University, Nanchang 330063 2School of Mathematics and Statistics, Xidian University, Xi'an 710071
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Cite this article: |
Wei Zheng, Qian Pan, Chen Sun et al 2016 Chin. Phys. Lett. 33 038901 |
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Abstract Fractal and self similarity of complex networks have attracted much attention in recent years. The fractal dimension is a useful method to describe the fractal property of networks. However, the fractal features of mobile social networks (MSNs) are inadequately investigated. In this work, a box-covering method based on the ratio of excluded mass to closeness centrality is presented to investigate the fractal feature of MSNs. Using this method, we find that some MSNs are fractal at different time intervals. Our simulation results indicate that the proposed method is available for analyzing the fractal property of MSNs.
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Received: 09 September 2015
Published: 31 March 2016
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PACS: |
89.75.Hc
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(Networks and genealogical trees)
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89.70.-a
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(Information and communication theory)
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05.45.Tp
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(Time series analysis)
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