SCIENCE CHINA Information Sciences, Volume 65 , Issue 2 : 129202(2022) https://doi.org/10.1007/s11432-019-2788-5

Social conformity creates consensus and strong diversity of Hegselmann-Krause opinion dynamics

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  • ReceivedSep 5, 2019
  • AcceptedDec 26, 2019
  • PublishedFeb 1, 2021


There is no abstract available for this article.


This work was supported by National Natural Science Foundation of China (Grant No. 61761136005) and Australian Research Council (Grant Nos. DP-160104500, DP-190100887).


Appendix A.


[1] Anderson B D O, Ye M. Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks. Int J Autom Comput, 2019, 16: 129-149 CrossRef Google Scholar

[2] Wang L, Tian Y, Du J M. Opinion dynamics in social networks (in Chinese). Sci Sin Inf, 2018, 48: 3--23. Google Scholar

[3] Chen Z, Qin J, Li B. Dynamics of opinions with social biases. Automatica, 2019, 106: 374-383 CrossRef Google Scholar

[4] Hegselmann R, Krause U. Opinion dynamics and bounded confidence models, analysis, and simulation. J Artif Soc Soc Simulat, 2002, 5. Google Scholar

[5] Duggins P. A psychologically-motivated model of opinion change with applications to American politics. J Artif Soc Soc Simulat, 2017, 20: 13. Google Scholar

[6] Ye M, Qin Y, Govaert A. An influence network model to study discrepancies in expressed and private opinions. Automatica, 2019, 107: 371-381 CrossRef Google Scholar

[7] Shang Y. Resilient Consensus for Expressed and Private Opinions.. IEEE Trans Cybern, 2019, : 1-14 CrossRef PubMed Google Scholar

[8] Asch S E, Guetzkow H. Effects of group pressure upon the modification and distortion of judgments. Doc Gestalt Psychol, 1951. 295--303. Google Scholar

[9] Myers D G. Social Psychology. 10th ed. New York: McGraw Hill, 2010. 191--192. Google Scholar

  • Figure 1

    (Color online) Opinion evolution of $n$ = 50 agents with $\varepsilon~$ = 0.15 and different group pressure levels. (a) $p$ = 0.2; (b) $p$ = 0.4; (c) $p$ = 0.6.