| CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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Interest-Driven Model for Human Dynamics |
SHANG Ming-Sheng1, CHEN Guan-Xiong2, DAI Shuang-Xing2, WANG Bing-Hong2,3, ZHOU Tao1,2,4 |
| 1Web Sciences Center, School of Computer Science andEngineering, University of Electronic Science and Technology of China,Chengdu 6100542Department of Modern Physics, University of Science and Technologyof China, Hefei 2300263The Research Center for Complex System Science, University ofShanghai for Science and Technology, Shanghai 2000934Department of Physics, University of Fribourg, Chemin du Mus\'ee 3,1700 Fribourg, Switzerland |
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| Cite this article: |
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SHANG Ming-Sheng, CHEN Guan-Xiong, DAI Shuang-Xing et al 2010 Chin. Phys. Lett. 27 048701 |
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Abstract Empirical observations indicate that the interevent time distribution of human actions exhibits heavy-tailed features. The queuing model based on task priorities is to some extent successful in explaining the origin of such heavy tails, however, it cannot explain all the temporal statistics of human behavior especially for the daily entertainments. We propose an interest-driven model, which can reproduce the power-law distribution of interevent time. The exponent can be analytically obtained and is in good accordance with the simulations. This model well explains the observed relationship between activities and power-law exponents, as reported recently for web-based behavior and the instant message communications.
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| Keywords:
87.23.Ge
89.65.-s
89.75.Da
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Received: 21 October 2009
Published: 27 March 2010
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| PACS: |
87.23.Ge
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(Dynamics of social systems)
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89.65.-s
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(Social and economic systems)
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89.75.Da
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(Systems obeying scaling laws)
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