论文部分内容阅读
【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】 This paper studies the evolution of microblog views of opinion taking into account the influence of next-nearest neighbors. 【Method】 A directed BA scale-free network is used to simulate the Weibo user relationship network, and the evolution rules of user’s perspective under the influence of the nearest neighbor and the next nearest neighbor are designed. Through the experimental simulation under the influence of the second nearest neighbor, the evolution process of the views of micro-blogs under different reviewing probabilities and forwarding probabilities. [Results] Taking into account the influence of sub-neighbors on the evolution of views, it will shorten the time for Weibo users to reach a consensus. The commenting behavior will prolong the relaxation time of the opinion evolution of Weibo, while the transfer will shorten the relaxation time of the opinion evolution of Weibo. [Limitations] This model focuses on the influence of sub-neighbors on the evolution of the views of Weibo public opinion and fails to take into account other factors such as the social environment. 【Conclusion】 The evolution of micro-blog’s public opinions considering the influence of next-nearest neighbors can depict the evolution of micro-blog’s opinion more authentically. The simulation results reveal that micro-blog has the effect of gathering public opinion within a short period of time and can easily cause public pressure.