Journal article

Modeling human dynamics with adaptive interest

  • Han, Xiao-Pu Department of Modern Physics, University of Science and Technology of China, Hefei, China
  • Zhou, Tao Department of Modern Physics, University of Science and Technology of China, Hefei, China - Department of Physics, University of Fribourg, Switzerland
  • Wang, Bing-Hong Department of Modern Physics, University of Science and Technology of China, Hefei, China - Shanghai Institute for Systemic Sciences, Shanghai, China
    07.07.2008
Published in:
  • New Journal of Physics. - 2008, vol. 10, p. 073010
English Increasing recent empirical evidence indicates the extensive existence of heavy tails in the inter-event time distributions of various human behaviors. Based on the queuing theory, the Barabási model and its variations suggest the highest-priority-first protocol to be a potential origin of those heavy tails. However, some human activity patterns, also displaying heavy-tailed temporal statistics, could not be explained by a task-based mechanism. In this paper, different from the mainstream, we propose an interest-based model. Both the simulation and analysis indicate a power-law inter-event time distribution with exponent -1, which is in accordance with some empirical observations in human-initiated systems.
Faculty
Faculté des sciences
Department
Physique
Language
  • English
Classification
Physics
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/300783
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