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

Jianhong Jiang; Runli Sun

doi:10.1117/12.2671174

28 April 2023 Research on the opinion evolution process under the effect of time delay

Jianhong Jiang, Runli Sun

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 1261063 (2023) https://doi.org/10.1117/12.2671174
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

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.

Citation Download Citation

Jianhong Jiang and Runli Sun "Research on the opinion evolution process under the effect of time delay", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 1261063 (28 April 2023); https://doi.org/10.1117/12.2671174

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