Skip to main content
SpringerLink
Log in

A Study of Collective Action Threshold Model Based on Utility and Psychological Theories

  • Conference paper
Active Media Technology (AMT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7669))

Included in the following conference series:

Abstract

In this paper, we extend Granovetter’s classic threshold model by adding both utility and psychological threshold. We conduct simulations with the presented model while also considering the spatial factor and friendship influence strength. We observe that the equilibrium of collective dynamics is not closely related to the friendship impact. With no utility and psychological threshold, the equilibrium state of the model is sensitive to the fluctuation of the collective threshold distribution and displays critical phenomena. By comparison, the equilibrium state with considering utility and psychological threshold looks positively robust. Furthermore, we observe that both cases demonstrate group bi-polarization pattern with the increase of standard deviation of the threshold.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Roger, E.M.: Diffusion of Innovations, 3rd edn. Free Press, New York (1983)

    Google Scholar 

  2. Granovetter, M., Soong, R.: Threshold Models of Diffusion and Collective Behavior. Journal of Mathematical Sociology 9, 165–179 (1983)

    Article  MATH  Google Scholar 

  3. Bass, F.M.: A new product growth model for consumer durables. Management Science 15, 215–227 (1969)

    Article  MATH  Google Scholar 

  4. Galam, S., Moscovici, S.: Towards a theory of collective phenomena: Consensus and attitude changes in groups. European Journal of Social Psychology 21, 49–74 (1991)

    Article  Google Scholar 

  5. Granovetter, M.S.: Threshold models of collective behavior. American Journal of Sociology 83, 1420–1443 (1978)

    Article  Google Scholar 

  6. Kahneman, D., Amos, T.: Prospect Theory: An Analysis of Decision under Risk. Econometrica XLVII, 263–291 (1979)

    Google Scholar 

  7. Lopez-Pintado, D., Watts, D.J.: Social influence, binary decisions and collective dynamics. Rationality and Society 20(399), 797–817 (2008)

    Google Scholar 

  8. March, J.G., Simon, H.A.: Organizations. Wiley, New York (1958)

    Google Scholar 

  9. Macy, M.W., Flache, A.: Learning dynamics in social dilemmas. Proc. Nat. Acad. Sci. 99(3), 7229–7236 (2002)

    Article  Google Scholar 

  10. Galam, S.: Local dynamics vs. social mechanisms: A unifying frame. Europhysics Letters 70, 705–711 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, P.R. China

    Zhenpeng Li & Xijin Tang

  2. College of Mathematics and Computer Science, Dali University, Dali, Yunnan, 671003, P.R. China

    Zhenpeng Li

Authors
  1. Zhenpeng Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xijin Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Computer and Information Sciences, Hosei University, 3-7-2, Kajino-cho, 184-8584, Koganei-shi, Tokyo, Japan

    Runhe Huang

  2. Faculty of Computer Science, University of New Brunswick, Box 440, E3B 5A3, Fredicton, NB, Canada

    Ali A. Ghorbani

  3. Department of Informatics, Systems and Communication, University of Milano Bicocca, Viale Sarca 336, 20126, Milano, Italy

    Gabriella Pasi

  4. Department of Administration Engineering, Keio University, 3-14-1 Hiyoshi, 223-8522, Kohoku-ku, Yokohama, Japan

    Takahira Yamaguchi

  5. University of Aizu, 102-C, Research Quadrangles, Tsuruga, Ikki-machi, 965-8580, Aizu-Wakamatsu City, Fukushima, Japan

    Neil Y. Yen

  6. Institute of Software, Chinese Academy of Sciences, no.4 Nan Sie Jie, Zhong Guan Cun, Hai Dian Qu, 100190, Beijing, China

    Beijing Jin

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, Z., Tang, X. (2012). A Study of Collective Action Threshold Model Based on Utility and Psychological Theories. In: Huang, R., Ghorbani, A.A., Pasi, G., Yamaguchi, T., Yen, N.Y., Jin, B. (eds) Active Media Technology. AMT 2012. Lecture Notes in Computer Science, vol 7669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35236-2_47

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35236-2_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35235-5

  • Online ISBN: 978-3-642-35236-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation