Abstract
Using natural science research methods to study the behavior and phenomenon in complex social groups has attracted great concern in recent years. The opinion refers to the views, choices, or preferences that individual have in one thing. The main study of opinion dynamics is the evolution process of individual views from disorder to order in social groups. Under the background of flocking theory, we proposed an individual opinion impact model based on Agent. We also analyzed the evolution of ideas and emergence of cluster. The effectiveness of proposed model is validated with simulation on the impacts of the opinion’s formation and evolution. The simulation results illustrate an effective interpretation of some phenomena in reality.
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Liu, S., Tang, R. (2018). Research of Opinion Dynamic Evolution Based on Flocking Theory. In: Wang, Y., Jiang, Z., Peng, Y. (eds) Image and Graphics Technologies and Applications. IGTA 2018. Communications in Computer and Information Science, vol 875. Springer, Singapore. https://doi.org/10.1007/978-981-13-1702-6_55
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DOI: https://doi.org/10.1007/978-981-13-1702-6_55
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