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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
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    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
  • English
Classification
Physics
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Identifiers
  • RERO DOC 18152
Persistent URL
https://folia.unifr.ch/unifr/documents/301528
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