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
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
-
-
Classification
-
Physics
-
License
-
License undefined
-
Identifiers
-
-
Persistent URL
-
https://folia.unifr.ch/unifr/documents/300783
Statistics
Document views: 41
File downloads: