A hybrid opinion dynamic model based on cognitive dissonance

Longqi Chen; Xiaoliang Chen

doi:10.1117/12.2672134

21 March 2023 A hybrid opinion dynamic model based on cognitive dissonance

Longqi Chen, Xiaoliang Chen

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 126090L (2023) https://doi.org/10.1117/12.2672134
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

Opinion evolution dynamics in social networks are fast becoming a critical aspect of social network analysis. One of the challenges in seeing the dynamics is to reach a predefined opinion consensus. A hybrid opinion dynamic model generally includes two types of agents, they are leaders and followers. However, some agents may show cognitive dissonance behavior due to the contradictions of opinions. The contradiction greatly affects the evolution of opinions and relationships. This paper proposes a hybrid opinion dynamics model based on cognitive dissonance (HODCD) to incorporate bounded confidence effects in traditional approaches. This model also provides a process to update the opinions and network of agents. Simulation results illustrate that HODCD can facilitate consensus between two communities with different opinions.

Citation Download Citation

Longqi Chen and Xiaoliang Chen "A hybrid opinion dynamic model based on cognitive dissonance", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 126090L (21 March 2023); https://doi.org/10.1117/12.2672134

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