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An Opinion Dynamics Approach to Public Opinion Reversion with the Guidance of Opinion Leaders |
LIU Qi, XIAO Renbin
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School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China |
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Abstract Opinion reversion is an important phenomenon in network emergencies and hot events. In order to explore the internal mechanism and the evolution law of public opinion reversion, we propose an opinion evolution model based on opinion leaders from the perspective of opinion dynamics. The model is applied to simulate the evolution process of public opinion under the guidance of opinion leaders. We take opinion leaders into account, improve the HK model and use social network analysis method to identify the opinion leaders based on scale-free network structure. To verify the simulation results we select the reversal case on sina twitter. The results show that opinion leaders play a key role in the evolution of opinion, which can guide the public opinion to reverse. The results also indicate that the improved model can simulate the evolution process of network opinion reversion.
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Received: 19 January 2019
Published: 04 July 2019
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