Abstract
We performed a social simulation using the opinion dynamics theory that incorporates trust and distrust. In this paper, we simulated the invisible primary in the US presidential election as a social simulation. We found that the candidate with strong trust from the voters is advantageous. Besides, when simulating a model that is closer to the actual invisible primary with sub-leaders, it was found that candidates who have strong support from many sub-leaders are advantageous. All of the results we obtained is consistent with the findings of previous studies on invisible primaries. The most of the actual election of the US presidential election results are consistent with this study’s findings.
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References
Flowers, J., Haynes, A., Crespin, M.: The media, the campaign, and the message. Am. J. Polit. Sci. 47(2), 259–273 (2003)
Haynes, A.A., Flowers, J.F., Gurian, P.: Getting the message out: candidate communication strategy during the invisible primary. Polit. Res. Q. 55, 633–652 (2002)
Buell, E.H., Jr.: The invisible primary. In: Mayer, W.G. (ed.) Pursuit of the White House. Chatham House Publishers, New Jersey (1996)
Hadley, A.T.: The Invisible Primary. Prentice Hall, Englewood Cliffs (1976)
Darr, J.P.: Earning Iowa: local newspapers and the invisible primary. Soc. Sci. Q. 100, 320–327 (2019)
Kenski, K., Filer, C.R., Conway-Silva, B.A.: Lying, liars, and lies: incivility in 2016 presidential candidate and campaign tweets during the invisible primary. Am. Behav. Sci. 62, 286–299 (2018)
Steger, W.P.: Who wins nominations and why? An updated forecast of the Presidential Primary Vote. Polit. Res. Q. 60, 91–99 (2007)
Han, L.C.: Off to the (horse) races: media coverage of the ‘not-so-invisible’ invisible primary of 2007. In: Bose, M. (ed.) From Votes to Victory: Winning and Governing the White House in the Twenty-First Century, pp. 91–116. Texas A & M University Press (2011)
Reuning, K., Dietrich, N.: Media coverage, public interest, and support in the 2016 republican invisible primary. Perspect. Polit. 17, 326–339 (2019)
Bycoffe, A.: “The Endorsement Primary,” The FiveThirtyEight (2020). https://projects.fivethirtyeight.com/2016-endorsement-primary
Cohen, M., Karol, D., Noel, H., Zaller, J.: The Party Decides: Presidential Nominations Before and After Reform. University of Chicago Press, Chicago (2009)
Stiles, E.A., Swearingen, C.D., Seiter, L., Foreman, B.: Catch me if you can: using a threshold model to simulate support for presidential candidates in the invisible primary. J. Artif. Soc. Soc. Simul. 23 (2020)
Deffuant, G., Neau, D., Amblard, F., Weisbuch, G.: Mixing beliefs among interacting agents. Adv. Complex Syst. 3, 87–98 (2000)
Weisbuch, G., Deffuant, G., Amblard, F., Nadal, J.-P.: Meet, discuss and segregate! Complexity 7(3) 55–63 (2002)
Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence models, analysis, and simulation. J. Artif. Soc. Soc. Simul. 5 (2002)
Duggins, P.: A psychologically-motivated model of opinion change with applications to American politics. J. Artif. Soc. Soc. Simul. 20(1), 13 (2017)
Castellano, C., Fortunato, S., Loreto, V.: Statistical physics of social dynamics. Rev. Modern Phys. 81, 591/646 (2009)
Sîrbu, A., Loreto, V., Servedio, V.D.P., Tria, F.: Opinion dynamics: models, extensions and external effects. In: Loreto, V., et al. (eds.) Participatory Sensing, Opinions and Collective Awareness. Understanding Complex Systems, 42 pages. Springer, Cham (2017)
Ishii, A., Kawahata, Y.: Opinion dynamics theory for analysis of consensus formation and division of opinion on the internet. In: Proceedings of The 22nd Asia Pacific Symposium on Intelligent and Evolutionary Systems, pp. 71–76 (2018). arXiv:1812.11845 [physics.soc-ph]
Ishii, A.: Opinion dynamics theory considering trust and suspicion in human relations. In: Morais, D., Carreras, A., de Almeida, A., Vetschera, R. (eds.) Group Decision and Negotiation: Behavior, Models, and Support, GDN 2019. Lecture Notes in Business Information Processing, vol. 351, pp. 193–204. Springer, Cham (2019)
Ishii, A., Kawahata, Y.: Opinion dynamics theory considering interpersonal relationship of trust and distrust and media effects. In: The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 33 JSAI2019 2F3-OS-5a-05 (2019)
Okano, N., Ishii, A.: Sociophysics approach of simulation of charismatic person and distrusted people in society using opinion dynamics. In: Sato, H., Iwanaga, S., Ishii, A. (eds.) Proceedings of the 23rd Asia-Pacific Symposium on Intelligent and Evolutionary Systems, pp. 238–252. Springer (2019)
Okano, N., Ishii, A.: Isolated, untrusted people in society and charismatic person using opinion dynamics. In: Proceedings of ABCSS2019 in Web Intelligence, pp. 1–6 (2019)
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Okano, N., Yamamoto, H., Nishikawa, M., Ishii, A. (2022). Simulation of Intragroup Alignment Using a New Model of Opinion Dynamics. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2021. Lecture Notes in Networks and Systems, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-030-82193-7_30
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DOI: https://doi.org/10.1007/978-3-030-82193-7_30
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