Abstract
With the development of the Internet era, the changes and spread of online public opinion have gradually become the mainstream of the change and spread of public opinion in the world today. And the development trend of online public opinion directly or indirectly affects daily life, so the research on the communication mechanism of network public opinion can provide reference for the work of the public opinion monitoring department. At the same time, the research has more important practical significance for further exploration of network public opinion. However, a large part of the current research does not focus on the individuals of netizens. The different behaviors caused by differences lead to changes in the communication mechanism. In order to solve this problem, the simulation method is used to deduct the evolution mechanism of network public opinion, and the overall model and impact model based on individual behavior are mainly used to study the influence of communication mode and individual multi-dimensional characteristics of netizens on hotspot public opinion transmission. The analysis and more accurately reflect the actual law of the network public opinion transmission process under the influence of individual behavior. The application value and significance of studying these contents is to make the obtained public opinion communication mechanism model and the law of public opinion evolution provide a certain reference for the regulatory authorities to adopt corresponding regulatory measures. At the same time, it can also benefit the network society and provide better help for maintaining network security and network communication order.
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Huang, W., Cui, Y. (2018). Research on Public Opinion Communication Mechanism Based on Individual Behavior Model. In: Qiao, J., et al. Bio-inspired Computing: Theories and Applications. BIC-TA 2018. Communications in Computer and Information Science, vol 952. Springer, Singapore. https://doi.org/10.1007/978-981-13-2829-9_32
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DOI: https://doi.org/10.1007/978-981-13-2829-9_32
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