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Symposium on Intelligent and Evolutionary Systems

IES 2019: Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems pp 238–252Cite as

Sociophysics Approach of Simulation of Charismatic Person and Distrusted People in Society Using Opinion Dynamics

Application of New Opinion Dynamics Theory Including both Trust and Distrust Between People

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Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 12))

Abstract

The problem of socially isolated people who are not trusted by the people around them is considered using a new opinion dynamics theory that can handle both trust and distrust among people. This can be not only in the real world, but also in human relations on SNS. Using the new theory of opinion dynamics, we perform simulations related to isolated persons. We found that a charismatic popular person could be saved by having a relationship with an isolated person. However, on the other hand, the charismatic population is weakened. The best way is to resolve distrust of themselves by everyone before using the popularity of the charismatic person.

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Acknowledgement

This work was supported by JSPS KAKENHI Grant Number JP19K04881.

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Authors and Affiliations

  1. Department of Applied Mathematics and Physics, Tottori University Koyama, Tottori, 680-8552, Japan

    Nozomi Okano & Akira Ishii

Authors
  1. Nozomi Okano
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  2. Akira Ishii
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Corresponding author

Correspondence to Akira Ishii .

Editor information

Editors and Affiliations

  1. Department of Computer Science, National Defense Academy of Japan, Yokosuka-shi, Japan

    Hiroshi Sato

  2. Faculty of Maritime Safety Technology, Japan Coast Guard Academy, Wakabacho, Japan

    Saori Iwanaga

  3. Department of Applied Mathematics and Physics, Tottori University, Tottori, Japan

    Akira Ishii

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Okano, N., Ishii, A. (2020). 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. IES 2019. Proceedings in Adaptation, Learning and Optimization, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-37442-6_22

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