An Opinion Evolution Model Based on the Behavior of Micro-blog Users
Yang Ning1, Huang Feihu2, Wen Yi1, Chen Yunwei1
1 Chengdu Document and Information Center, Chinese Academy of Sciences, Chengdu 610041, China;
2 College of Computer Science, Sichuan University, Chengdu 610065, China
[Objective] Explore an opinion evolution model based on the information dissemination of micro-blog. [Methods] Analyzing three kinds of user behavior in the micro-blog network (including publishing, review, forwarding), this paper proposes a new opinion evolution model, which introduces the concept of Sensitivity and Activity to measure user's enthusiasm for getting new information and discussing with others. Based on the NetLogo platform, this paper discusses the influence of the parameters on the result of evolution firstly, and then contrasts with HK model by computer simulation. [Results] The trust threshold has the effect on the user's opinion. Sensitivity has a promotion effect on the communication of information. Activity can speed up the dissemination of information and promote user's opinion to be stable. [Limitations] At present, the research of the opinion dynamics is mainly based on the theoretical analysis and the experiment, so the model also need to expand data size to verify the adaptability of the theoretical model. [Conclusions] The presented model is based on the behavior of micro-blog users. The experimental results show that the model can describe the complex information dissemination and the update of the opinion in the micro-blog network.
杨宁, 黄飞虎, 文奕, 陈云伟. 基于微博用户行为的观点传播模型[J]. 现代图书情报技术, 2015, 31(12): 34-41.
Yang Ning, Huang Feihu, Wen Yi, Chen Yunwei. An Opinion Evolution Model Based on the Behavior of Micro-blog Users. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2015.12.06.
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