Abstract
The purpose of this paper is to interpret the diffusion of innovation (transfer of opinions to the adoption category) from the simulation of opinion dynamics with five adapter categories set as agents, and to provide a computational social science method useful for marketing and mass media research. In the simulation, we observed the impact on the spread of innovation by manipulating variables such as the Initial Distribution of Opinions, the Confidence Coefficient between agents, the Mass Media Effects, and the Network Connection Probabilities of the random network. Simulation results show that when the media has a uniform impact on the market, the distribution of people's opinions is distorted in the direction that the media takes the lead. We also observed that by manipulating the initial values of the opinions of the initial adopters, the reliability coefficient, and the connection probability between the nodes of the random network, the market is affected, and the spread of innovation is affected.
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Fujii, M., Ishii, A. (2022). The Simulation with New Opinion Dynamics Using Five Adopter Categories. 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_27
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DOI: https://doi.org/10.1007/978-3-030-82193-7_27
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