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【目的/意义】从复杂网络视角,对有界信任模型中的DW模型进行改进,提出了基于社会关系强度的舆情观点演化模型,分析网络社群舆情的观点演化机制,以期为引导网络舆情提供指导。【方法/过程】运用仿真实验的方法,分析了信任阈值、观点开放度、关系强度对舆情观点演化过程的影响作用。【结果/结论】随着信任阈值的增大,个体间观点经过不断交互而生成的观点簇数量逐渐减少,个体观点的聚合速度逐渐加快;随着群体从保守型转变为开放型,个体观点经过不断交互而生成的观点簇数量逐渐减少,个体观点簇聚合速度逐渐加快;强关系更利于网络社群舆情观点的快速聚合,且观点聚合达到稳态时的观点数量和观点分布方差均小于弱关系环境中。
[Purpose / Significance] From the perspective of complex networks, this paper improves the DW model in bounded trust model, proposes a evolution model of public opinion based on the strength of social relations, and analyzes the evolution mechanism of opinion of online community opinion in order to guide the network public opinion guide. 【Method / Process】 Using the method of simulation experiment, this paper analyzes the impact of trust threshold, openness of perspective and relationship strength on the evolution of public opinions. 【Result】 CONCLUSION With the increase of trust threshold, the number of viewpoint clusters generated by continuous interaction between individuals gradually decreases, and the aggregation speed of individual viewpoint accelerates gradually. As the group changes from a conservative type to an open type, The number of view clusters generated by continuous interaction gradually decreases, and the clustering speed of individual viewpoint clustering accelerates; the strong relationship is more conducive to the rapid aggregation of public opinions in the online community, and the variance of viewpoint number and viewpoint distribution when the viewpoint aggregation reaches the steady state is less than the weak relationship Environment.