Interest-driven model for human dynamics

Shang, Ming-Sheng; Chen, Guan-Xiong; Dai, Shuang-Xing; Wang, Bing-Hong; Zhou, Tao

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Journal article

Interest-driven model for human dynamics

Shang, Ming-Sheng Web Sciences Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
Chen, Guan-Xiong Department of Modern Physics, University of Science and Technology of China, Hefei, China
Dai, Shuang-Xing Department of Modern Physics, University of Science and Technology of China, Hefei, China
Wang, Bing-Hong Department of Modern Physics, University of Science and Technology of China, Hefei, China - The Research Center for Complex System Science, University of Shanghai for Science and Technology, Shanghai, China
Zhou, Tao Web Sciences Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China - Department of Modern Physics, University of Science and Technology of China, Hefei, China - Department of Physics, University of Fribourg, Switzerland

2010

Published in:

Chinese Physics Letters. - 2010, vol. 27, no. 4, p. 048701

English 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.

Faculty

Faculté des sciences et de médecine

Department

Département de Physique

Language