Skip to main content
SpringerLink
Log in
Book cover

International Conference on Neural Information Processing

ICONIP 2017: Neural Information Processing pp 689–698Cite as

Analysing the Evolution of Contrary Opinions on a Controversial Network Event

  • Conference paper
  • First Online:

  • 4578 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10638))

Abstract

With the growing popularity of social networking services, network public opinion gradually plays an important role in social life. When a controversial network event happens, what people concern about is which opinion in the contrary opinions will be widely accepted by people and how long this event lasts. To solve this problem, we propose a social evolutionary game model based on Hawk-Dove game to simulate how contrary opinions evolve in social network. The effectiveness of our model is validated by actual data. This model can be used to estimate the potential dominant opinion group and the time length of the controversy. Besides, our simulation reveals some special features of the evolution process and results. This study may be useful for network public opinion supervision and market research.

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

References

  1. Sznajd-Weron, K., Sznajd, J.: Opinion evolution in closed community. Int. J. Mod. Phys. C 11(6), 0000093 (2000)

    Article  Google Scholar 

  2. Amblard, F., Deffuant, G., Weisbuch, G.: How can extremism prevail? A study based on the relative agreement interaction model. J. Artif. Soc. Soc. Simul. 5(4), 1 (2002)

    Google Scholar 

  3. Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence models, analysis and simulation. J. Artif. Soc. Soc. Simul. 5(3), 2 (2002)

    Google Scholar 

  4. Martins, A.C.R.: Continuous opinions and discrete actions in opinion dynamics problems. Int. J. Mod. Phys. C 19, 0801233 (2008)

    Article  Google Scholar 

  5. Xu, H., Cai, W., Chen, G., Wang, J.: Opinion propagation and public opinion formation model for forum networks. Comput. Sci. 5, 150–152 (2013)

    Google Scholar 

  6. Zhang, Y.: The evolution of public opinion in social simulation. In: Seventh International Joint Conference on Computational Sciences and Optimization, pp. 343–345. IEEE Computer Society (2014)

    Google Scholar 

  7. Jiang, C., Chen, Y., Liu, K.J.R.: Graphical evolutionary game for information diffusion over social networks. IEEE J. Sel. Topics Signal Process. 8(4), 524–536 (2014)

    Article  Google Scholar 

  8. Zheng, X., Lu, X., Chan, F.T.S., Deng, Y., Wang, Z.: Bargaining models in opinion dynamics. Appl. Math. Comput. 251, 162–168 (2015)

    MathSciNet  MATH  Google Scholar 

  9. Yu, J., Wang, Y., et al.: Analysis of competitive information dissemination in social network based on evolutionary game model. In: Third International Conference on Cloud & Green Computing, vol. 90, pp. 748–753. IEEE (2013)

    Google Scholar 

  10. Maynard-Smith, J., Price, G.R.: The logic of animal conflict. Nature 246, 15–18 (1973)

    Article  MATH  Google Scholar 

  11. Yu, J., Wang, Y., Jin, X., Cheng, X.: Social evolutionary games. In: International Conference on Game Theory for Networks, pp. 1–5. IEEE (2014)

    Google Scholar 

  12. Li, J., Xing, G., Wang, Y., Ren, Y.: Training opinion leaders in microblog: a game theory approach. In: Second International Conference on Cloud and Green Computing, pp. 754–759. IEEE Computer Society (2012)

    Google Scholar 

  13. Qiu, W., Wang, Y., Yu, J.: A game theoretical model of information dissemination in social network. In: International Conference on Complex Systems, vol. 229, pp. 1–6. IEEE (2013)

    Google Scholar 

  14. Yu, J., Wang, Y., Jin, X., Cheng, X.: Identifying interaction groups in social network using a game-theoretic approach. In: IEEE/WIC/ACM International Joint Conferences on Web Intelligence, vol. 2, pp. 511–518. IEEE Computer Society (2014)

    Google Scholar 

  15. Sugden, R.: The Economics of Rights, Cooperation and Welfare, 2nd edn. Palgrave Macmillan, Basingstoke (2005). P. 132

    Book  Google Scholar 

  16. Liu, R., Wang, Y.: Evolutionary coordinative foraging algorithm based on Hawk-Dove game. In: Second International Symposium on Intelligent Information Technology Application, vol. 2, pp. 629–633. IEEE Computer Society (2008)

    Google Scholar 

  17. Tomassini, M., Luthi, L., Giacobini, M.: Hawks and Doves on small-world networks. Phys. Rev. E Stat. Nonlinear Soft Matter Phys. 73(2), 016132 (2006)

    Article  Google Scholar 

  18. Voelkl, B.: The Hawk-Dove game and the speed of the evolutionary process in small heterogeneous populations. Games 1(2), 103–116 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  19. Death of Wei Zexi-Wikipedia. https://en.wikipedia.org/wiki/Death_of_Wei_Zexi

  20. Milgram, S.: The small world problem. Psychol. Today 2, 185–195 (1967)

    Google Scholar 

  21. Barabasi, A.L., Bonabeau, E.: Scale-free networks. Sci. Am. 288(5), 60 (2003)

    Article  Google Scholar 

  22. Goh, K.I., Kahng, B., Kim, D.: Universal behavior of load distribution in scale-free networks. Phys. Rev. Lett. 87(27 Pt 1), 278701 (2001)

    Article  Google Scholar 

  23. Cho, Y.S., Kim, J.S., Park, J., Kahng, B., Kim, D.: Percolation transitions in scale-free networks under the Achlioptas process. Phys. Rev. Lett. 103(13), 135702 (2009)

    Article  Google Scholar 

  24. Watts, D.J., Strogatz, S.H.: Collective dynamics of ‘small-world’ networks. Nature 393(6684), 440 (1998)

    Article  MATH  Google Scholar 

  25. Erdos, P., Renyi, A.: On random graphs. Publ. Math. 6(4), 290–297 (1959)

    MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Computer Science, Tsinghua University, Haidian District, Beijing, China

    Qu Liu & Chuang Lin

  2. Institute of Computing Technology, Chinese Academy of Science, Haidian District, Beijing, China

    Yuanzhuo Wang & Guoliang Xing

Authors
  1. Qu Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuanzhuo Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chuang Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Guoliang Xing
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chuang Lin .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    Derong Liu

  2. Guangdong University of Technology, Guangzhou, China

    Shengli Xie

  3. South China University of Technology, Guangzhou, China

    Yuanqing Li

  4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  5. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, Q., Wang, Y., Lin, C., Xing, G. (2017). Analysing the Evolution of Contrary Opinions on a Controversial Network Event. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10638. Springer, Cham. https://doi.org/10.1007/978-3-319-70139-4_70

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-70139-4_70

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70138-7

  • Online ISBN: 978-3-319-70139-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation