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A model of task-deletion mechanism based on the priority queueing system of Barabási

Author

Listed:
  • Zhou, Bin
  • Xie, Jia-Rong
  • Yan, Xiao-Yong
  • Wang, Nianxin
  • Wang, Bing-Hong

Abstract

In this paper, we propose a model of task-deletion mechanism based on the priority queueing system of Barabási (2005) to deep research the pattern diversity of human behaviors. The analytical solution for our model with two tasks is presented. In different cases of the parameter of task-deletion, our model can produce rich statistical behavior patterns, which are consistent with lots of empirical studies. Therefore, the model can theoretically explain more human behavior phenomena than the model of Barabási. These results have important significance for understanding the mechanism of pattern diversity of human behaviors.

Suggested Citation

  • Zhou, Bin & Xie, Jia-Rong & Yan, Xiao-Yong & Wang, Nianxin & Wang, Bing-Hong, 2017. "A model of task-deletion mechanism based on the priority queueing system of Barabási," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 415-421.
    • Handle: RePEc:eee:phsmap:v:466:y:2017:i:c:p:415-421
    DOI: 10.1016/j.physa.2016.09.032
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    References listed on IDEAS

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    1. Juan Camilo Bohorquez & Sean Gourley & Alexander R. Dixon & Michael Spagat & Neil F. Johnson, 2009. "Common ecology quantifies human insurgency," Nature, Nature, vol. 462(7275), pages 911-914, December.
    2. Scalas, Enrico & Kaizoji, Taisei & Kirchler, Michael & Huber, Jürgen & Tedeschi, Alessandra, 2006. "Waiting times between orders and trades in double-auction markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 463-471.
    3. S. C. Wang & J. J. Tseng & C. C. Tai & K. H. Lai & W. S. Wu & S. H. Chen & S. P. Li, 2008. "Network topology of an experimental futures exchange," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 62(1), pages 105-111, March.
    4. Jaume Masoliver & Miquel Montero & George H. Weiss, 2002. "A continuous time random walk model for financial distributions," Papers cond-mat/0210513, arXiv.org.
    5. A. Grabowski, 2009. "Human behavior in online social systems," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 69(4), pages 605-611, June.
    6. Hu, Hai-Bo & Han, Ding-Yi, 2008. "Empirical analysis of individual popularity and activity on an online music service system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(23), pages 5916-5921.
    7. Wang, Peng & Xie, Xiao-Yi & Yeung, Chi Ho & Wang, Bing-Hong, 2011. "Heterogenous scaling in the inter-event time of on-line bookmarking," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(12), pages 2395-2400.
    8. Albert-László Barabási, 2005. "The origin of bursts and heavy tails in human dynamics," Nature, Nature, vol. 435(7039), pages 207-211, May.
    9. Oliveira, J.G. & Vazquez, A., 2009. "Impact of interactions on human dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(2), pages 187-192.
    Full references (including those not matched with items on IDEAS)

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