Mr. Jianhong Jiang Profile

Jianhong Jiang

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Proceedings Article | 14 June 2023 Paper

Model of the evolution of opinion propagation under the effect of group pressure

Jianhong Jiang, Runli Sun

Proceedings Volume 12725, 1272503 (2023) https://doi.org/10.1117/12.2678906

KEYWORDS: Process modeling, Heart, Social networks, Nickel, Reliability, Reflection, Psychology, Matrices, Tolerancing, Sun

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For the consideration of the differences in the influence of group pressure on individuals, based on the Hegselmann- Krause model, this paper introduces the concepts of group pressure, individual type and relationship degree. Based on the new individual interaction rules, the model is established to explore the influence of different factors in the model on the opinion evolution process. The model is built based on new individual interaction rules and explores the effect of group pressure and the proportion of different types of groups in the model on the opinion evolution process. The simulation results show that different network models affect the evolutionary process and the speed of convergence, but not the final evolutionary outcome.The proportion of non-conformity groups greatly affects the degree of consensus of the final opinion. True conformity groups contribute to group consensus, while equity conformity groups promote opinion diversity. The convergence time of group expressed opinions is generally shorter than that of private group opinions. The results of the study assist social managers in guiding the opinion dissemination process in a targeted manner according to the characteristics of different types of groups.

Proceedings Article | 29 April 2023 Paper

Research on the opinion evolution process under the effect of time delay

Jianhong Jiang, Runli Sun

Proceedings Volume 12610, 1261063 (2023) https://doi.org/10.1117/12.2671174

KEYWORDS: Simulations, Social networks, Solids, Nickel, Internet, Diffusion, Data processing, Social sciences

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To address the problem of time delays in the information dissemination process, the classical Hegselmann-Krause model is extended by introducing concepts such as time delays. The role of network models, trust thresholds and time delays in the opinion evolution process is explored. The results show that scale-free networks are more likely to reach opinion consensus than random networks under the same trust threshold, the larger the trust threshold in the same network model the easier it is for opinions to reach consensus, and conversely the smaller the trust threshold the more fragmented the opinions tend to be. secondly, time delay speeds up the initial stage of opinion evolution. Although this feature is counterintuitive, the value of this feature is verified in example simulations. The simulation results considering time delays are closer to the evolutionary process of the real case.

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