Modeling human dynamics with adaptive interest

Han, Xiao-Pu; Zhou, Tao; Wang, Bing-Hong

doi:10.1088/1367-2630/10/7/073010

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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 et de médecine

Department

Département de Physique

Language