Abstract：Aiming at the complex dynamics problem in the evolution process of public opinion, this paper proposes a dynamic evolution model of public opinion under the vision of hyper-network. The model includes four processes: nodes addition, reconnection link, hyperedges addition and nodes aging, where node represents keywords and hyperedge represents topic of keywords. Secondly, by using the evolution mechanism of non-uniform network, a detailed theoretical analysis is carried out on the deviation of the dynamic evolution model, the deviation of the attention of nodes itself and the influence between nodes. The analysis results show that the deviation of nodes fully conforms to the power law distribution.Finally,the influence of different parameters on the variation of the node hyperdegree distribution is analyzed by MATLAB simulation, and the result is further verified to be power law distribution.
王志平, 王佳. 基于超网络的舆论演化动态模型[J]. 复杂系统与复杂性科学, 2021, 18(2): 29-38.
WANG Zhiping, WANG Jia. Dynamic Model of Public Opinion Evolution Based on Hyper-network. Complex Systems and Complexity Science, 2021, 18(2): 29-38.
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