考虑次近邻影响的微博舆论观点演化模型

Evolution Model of Microblog Public Opinion Considering the Influence of Next-nearest Neighbors

【目的】研究考虑次近邻影响的微博舆论观点演化模型。【方法】采用有向BA无标度网络模拟微博用户关系网络,设计近邻和次近邻影响下的用户观点演化规则。通过实验仿真有无次近邻影响下、不同评论概率和转发概率下的微博舆论观点演化过程。【结果】考虑到次近邻对观点演化过程的影响,会缩短微博用户达成共识所用的时间。评论行为会延长微博舆论观点演化的弛豫时间,而转发行为则会缩短微博舆论观点演化的弛豫时间。【局限】本模型重点突出考虑次近邻对微博舆论观点演化的影响,未能考虑到社会环境等其他影响因素。【结论】考虑次近邻影响的微博舆论观点演化模型可以更为真实地刻画微博舆论观点的演化过程,仿真结果揭示出微博具有短时间内聚集民意的作用,极易造成舆论压力。

[Objective] Study on an evolution model of microblog public opinion considering the influence of next-nearest neighbors. [Methods] Use the directed BA scale-free network to simulate the network formed by users＇ attention relationship in microblog, and design the iterative role, in which the nearest and the next-nearest neighbors influence the microblog view evolution in combination. Then simulate the view evolution of microblog public opinion with or without the influence of next-nearest neighbors, and the opinion evolution under different review probabilities and different forwarding probabilities. [Results] Considering the influence of next-nearest neighbors on view evolution, it would take less time to reach an agreement for microblog users. The experiments show that the behaviour of review increases the relaxation time of opinion evolution, but the behaviour of forwarding shortens it. [Limitations] The model highlights the effect of next-nearest neighbors on the opinion evolution of microblog public opinion and does not account for other factors such as the social environment. [Conclusions] The evolution model of microblog public opinion considering the influence of next-nearest neighbors can characterize the opinion evolution of microblog public opinion in a more realistic way. The simulation results show that microblog plays a role in aggregating the public opinion in a short time period and easily causes public pressure.