Skip to main content
SpringerLink
Log in

Model for human dynamics based on habit

  • Article
  • Computer Applications
  • Published:
Chinese Science Bulletin

Abstract

The quantitative understanding of human behavior is a central question of modern science. Because of the complexity of human behavior, it is almost impossible to seek regularities in human dynamics. It is assumed that human actions are randomly distributed in time in current models for human dynamics. While the characteristics of human behavior combined with the queue model are considered as model for human dynamics based on habit to explain bursts and heavy tails in human dynamics more exactly. Normal distribution is used to simulate intervals of succession of events, and random parameters are set as unexpected events disturbing habit behaviors. Moreover, duration of events are proposed to imitate continual attention to some events in human behaviors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Shi X, Lou G W, Li X G. Modeling and analysis of ground target radiation cross section. Chinese Sci Bull, 2008, 53: 1444–1449

    Article  Google Scholar 

  2. Zhang S G, Zhang W H, Jin X S. Dynamics of high speed wheel/rail system and its modeling. Chinese Sci Bull, 2007, 52: 1566–1575

    Article  Google Scholar 

  3. Wang Y Y, Huang T, Zhao X M, et al. A semi-analytical approach for stiffness modeling of PKM by considering compliance of machine frame with complex geometry. Chinese Sci Bull, 2008, 53: 2565–2574

    Article  Google Scholar 

  4. Wang R H, Dai L R, Ling Z H, et al. Trainable unit selection speech synthesis under statistical framework. Chinese Sci Bull, 2009, 54: 1963–1969

    Article  Google Scholar 

  5. Li A A, Liu Q, Zeng S Q, et al. Construction and visualization of high-resolution three-dimensional anatomical structure datasets for Chinese digital human. Chinese Sci Bull, 2008, 53: 1848–1854

    Article  Google Scholar 

  6. Haight F A. Handbook of the Poisson Bistribution. New York: Wiley, 1967

    Google Scholar 

  7. Li NN, Zhang N, Zhou T. Empirical analysis on temporal statistics of human correspondence patterns. Phys A-Stat Mech Appl, 2008, 387: 6391–6394

    Article  Google Scholar 

  8. Hu H B, Han D Y. Empirical analysis of individual popularity and activity on an online music service system. Phys A-Stat Mech Appl, 2008, 387: 5916–5921

    Article  Google Scholar 

  9. Goncalves B, Ramasco J J. Human dynamics revealed through Web analytics. Phys Rev E, 2008, 78: 26123

    Article  Google Scholar 

  10. Candia J, González Marta C, Wang P, et al. Uncovering individual and collective human dynamics from mobile phone records. J Phys A-Math Theo, 2008, 41: 224015

    Article  Google Scholar 

  11. Barabási, A L. The origin of bursts and heavy tails in human dynamics. Nature, 2005, 435: 207–211

    Article  Google Scholar 

  12. Vázquez A, Dezso O J. Modeling bursts and heavy tails in human dynamics. Phys Rev E, 2006, 73: 36127

    Article  Google Scholar 

  13. Bedogne C, Rodgers G J. A continuous model of human dynamics. Physica A, 2007, 385: 356–362

    Article  Google Scholar 

  14. Blanchard Ph, Hongler MO. Modeling human activity in the spirit of Barabási’s queueing systems. Phys Rev E, 2007, 75: 26102

    Article  Google Scholar 

  15. Cajueiro D O, Maldonado W L. Role of optimization in the human dynamics of task execution. Phys Rev E, 2008, 77: 35101

    Article  Google Scholar 

  16. Vázquez A. Impact of memory on human dynamics. Phys A-Stat Mech Appl, 2007, 373: 747–752

    Article  Google Scholar 

  17. Han X P, Zhou T, Wang B H. Modeling human dynamics with adaptive interest. New J Phys, 2008, 10: 073010

    Article  Google Scholar 

  18. Ebel H, Mielsch L I, Bornholdt S. Scale-free topology of e-mail networks. Phys Rev E, 2002, 66: 35103

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Jilin University, Changchun, 130012, China

    Yu Jiao, YanHeng Liu & Jian Wang

  2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China

    Yu Jiao, YanHeng Liu & Jian Wang

  3. Archives of Jilin University, Changchun, 130012, China

    Jing Wang

Authors
  1. Yu Jiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. YanHeng Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jian Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jing Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to YanHeng Liu.

About this article

Cite this article

Jiao, Y., Liu, Y., Wang, J. et al. Model for human dynamics based on habit. Chin. Sci. Bull. 55, 2744–2749 (2010). https://doi.org/10.1007/s11434-010-3011-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11434-010-3011-0

Keywords

Search

Navigation