Multiagent opinion dynamics influenced by individual susceptibility and anchoring effect

Zihan Chen; Yu Xing; Huashu Qin

Kybernetika (2019)

  • Volume: 55, Issue: 4, page 714-726
  • ISSN: 0023-5954

Abstract

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This paper studies a new model of social opinion dynamics in multiagent system by counting in two important factors, individual susceptibility and anchoring effect. Different from many existing models only focusing on one factor, this model can exhibit not only agreement phenomena, but also disagreement phenomena such as clustering and fluctuation, during opinion evolution. Then we provide several conditions to show how individual susceptibility and anchoring effect work on steady-state behaviors in some specific situations, with strict mathematical analysis. Finally, we investigate the model for general situations via simulations.

How to cite

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Chen, Zihan, Xing, Yu, and Qin, Huashu. "Multiagent opinion dynamics influenced by individual susceptibility and anchoring effect." Kybernetika 55.4 (2019): 714-726. <http://eudml.org/doc/295059>.

@article{Chen2019,
abstract = {This paper studies a new model of social opinion dynamics in multiagent system by counting in two important factors, individual susceptibility and anchoring effect. Different from many existing models only focusing on one factor, this model can exhibit not only agreement phenomena, but also disagreement phenomena such as clustering and fluctuation, during opinion evolution. Then we provide several conditions to show how individual susceptibility and anchoring effect work on steady-state behaviors in some specific situations, with strict mathematical analysis. Finally, we investigate the model for general situations via simulations.},
author = {Chen, Zihan, Xing, Yu, Qin, Huashu},
journal = {Kybernetika},
keywords = {opinion dynamics; individual susceptibility; anchoring effect; steady-state behavior},
language = {eng},
number = {4},
pages = {714-726},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Multiagent opinion dynamics influenced by individual susceptibility and anchoring effect},
url = {http://eudml.org/doc/295059},
volume = {55},
year = {2019},
}

TY - JOUR
AU - Chen, Zihan
AU - Xing, Yu
AU - Qin, Huashu
TI - Multiagent opinion dynamics influenced by individual susceptibility and anchoring effect
JO - Kybernetika
PY - 2019
PB - Institute of Information Theory and Automation AS CR
VL - 55
IS - 4
SP - 714
EP - 726
AB - This paper studies a new model of social opinion dynamics in multiagent system by counting in two important factors, individual susceptibility and anchoring effect. Different from many existing models only focusing on one factor, this model can exhibit not only agreement phenomena, but also disagreement phenomena such as clustering and fluctuation, during opinion evolution. Then we provide several conditions to show how individual susceptibility and anchoring effect work on steady-state behaviors in some specific situations, with strict mathematical analysis. Finally, we investigate the model for general situations via simulations.
LA - eng
KW - opinion dynamics; individual susceptibility; anchoring effect; steady-state behavior
UR - http://eudml.org/doc/295059
ER -

References

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  1. Acemoğlu, D., Como, G., Fagnani, F., Ozdaglar, A., 10.1287/moor.1120.0570, Math. Oper. Res. 38 (2013), 1-27. MR3029476DOI10.1287/moor.1120.0570
  2. Bindel, D., Kleinberg, J., Oren, S., 10.1016/j.geb.2014.06.004, Games Econ. Behav. (2015), 248-265. MR3377660DOI10.1016/j.geb.2014.06.004
  3. Castellano, C., Castellano, F., Vittorio, L., 10.1103/revmodphys.81.591, Rev. Mod. Phys. 8 (2009), 2, 591-646. DOI10.1103/revmodphys.81.591
  4. Chen, Z., Qin, J., Li, B., Qi, H., Buchhorn, P., Shi, G., 10.1016/j.automatica.2019.04.035, Automatica 106 (2019), 374-383. MR3954046DOI10.1016/j.automatica.2019.04.035
  5. Dandekar, P., Goel, A., Lee, D. T., 10.1073/pnas.1217220110, Proc. Natl. Acad. Sci. U. S. A. 110 (2013), 5791-5796. MR3065807DOI10.1073/pnas.1217220110
  6. DeGroot, M. H., 10.1080/01621459.1974.10480137, J. Am. Stat. Assoc. 69 (1974), 118-121. DOI10.1080/01621459.1974.10480137
  7. DeMarzo, P. M., Vayanos, D., Zwiebel, J., 10.1162/00335530360698469, Q. J. Econ. 118 (2003), 909-968. DOI10.1162/00335530360698469
  8. Flache, A., Mäs, M., Feliciani, T., Chattoe-Brown, E., Deffuant, G., Huet, S., Lorenz, J., 10.18564/jasss.3521, JASSS 20 (2017), 4. DOI10.18564/jasss.3521
  9. Friedkin, N. E., Johnsen, E. C., 10.1080/0022250x.1990.9990069, J. Math. Sociol. 15 (1990), 193-206. DOI10.1080/0022250x.1990.9990069
  10. Friedkin, N. E., Proskurnikov, A. V., Tempo, R., Parsegov, S. E., 10.1126/science.aag2624, Science 354 (2016), 321-326. MR3561171DOI10.1126/science.aag2624
  11. Hegselmann, R., Krause, U., Opinion dynamics and bounded confidence models, analysis, and simulation., JASSS 5 (2002). 
  12. Helbing, D., Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes., Springer Science and Business Media, 2010. MR2848027
  13. Kacperski, K., 10.1016/s0378-4371(99)00174-0, Physica A 269 (1999), 511-526. DOI10.1016/s0378-4371(99)00174-0
  14. Kramer, G. H., 10.2307/1955049, Am. Polit. Sci. Rev. 65 (1971), 131-143. DOI10.2307/1955049
  15. Lawrence, E., Farrell, J., Farrell, H., 10.1017/s1537592709992714, Perspect. Polit. 8 (2010), 141-157. DOI10.1017/s1537592709992714
  16. Li, L., Scaglione, A., Swami, A., Zhao, Q., 10.1109/jsac.2013.130609, IEEE J. Sel. Areas Commun. 31 (2013), 1072-1083. DOI10.1109/jsac.2013.130609
  17. Myers, D. G., Social Psychology., McGraw-Hill, New York 1993. 
  18. Proskurnikov, A. V., Tempo, R., 10.1016/j.arcontrol.2017.03.002, Ann. Rev. Control 43 (2017), 65-79. MR3880766DOI10.1016/j.arcontrol.2017.03.002
  19. Scott, J., 10.4135/9781483381411.n575, Sage, 2017. DOI10.4135/9781483381411.n575
  20. Shi, G., Proutiere, A., Johansson, M., Baras, J. S., Johansson, K. H., 10.1287/opre.2015.1448, Oper. Res. 64 (2016), 585-604. MR3515199DOI10.1287/opre.2015.1448
  21. Tversky, A., Kahneman, D., 10.1007/bf00122574, J. Risk Uncertain. 5 (1992), 297-323. DOI10.1007/bf00122574
  22. Xing, Y., Hong, Y., Fang, H., A Novel Opinion Model for Complex Macro-Behaviors of Mass Opinion., Sci. China-Inf. Sci. 
  23. Yildiz, E., Ozdaglar, A., Acemoglu, D., Saberi, A., Scaglione, A., 10.1145/2538508, ACM Trans. Econ. Comput. 1 (2013), 4, 1-30. DOI10.1145/2538508
  24. Zhang, J., 10.14736/kyb-2014-1-0032, Kybernetika 50 (2014), 32-45. MR3195003DOI10.14736/kyb-2014-1-0032
  25. Zhang, J., Hong, Y., Hu, X., 10.1137/16m1083268, SIAM J. Control Optim. 55 (2017), 2543-2573. MR3686786DOI10.1137/16m1083268

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