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Simulations of the Diffusion of Innovation by Trust–Distrust Model Focusing on the Network Structure

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  • Makoto Fujii

    (Josai International University
    Tottori University (Doctoral Course))

Abstract

The purpose of this study is to examine the role of interaction between mass media and people in the diffusion of innovation using the Trust–Distrust model, one of the theories of opinion dynamics. Therefore, in this study, we ran simulations using the Trust–Distrust model to confirm the differences in opinion distribution across different network structures. We used the five adopter categories as the agents of the Trust–Distrust model and applied the random network, scale-free network, and small-world network as the networks for simulation. As a result, we confirmed that differences in network structure lead to differences in the diffusion of innovations (distribution of opinions).

Suggested Citation

  • Makoto Fujii, 2022. "Simulations of the Diffusion of Innovation by Trust–Distrust Model Focusing on the Network Structure," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 527-544, October.
    • Handle: RePEc:spr:trosos:v:16:y:2022:i:2:d:10.1007_s12626-022-00113-z
    DOI: 10.1007/s12626-022-00113-z
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    References listed on IDEAS

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    1. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.
    2. Galam, Serge, 1997. "Rational group decision making: A random field Ising model at T = 0," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 238(1), pages 66-80.
    3. Guillaume Deffuant & David Neau & Frederic Amblard & Gérard Weisbuch, 2000. "Mixing beliefs among interacting agents," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 3(01n04), pages 87-98.
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