Mining of Opinion Leaders and Prediction of Critical Propagation Paths for Specific Public Opinion
XU Ya-Bin,SUN Qiu-Tian
(Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing 100101, China)
(School of Computer, Beijing Information Science &Technology University, Beijing 100101, China)
[Objective] In order to control and intervene the spread and development of public opinion to a certain extent.
[Methods] An opinion leader mining model OLMT is firstly proposed, which integrates the propagation force and topological potential, so that opinion leader mining can be carried out from more angles and more objectively. In addition, by transforming the Transformer model used for machine translation, a social network propagation behavior prediction model mf-transformer is constructed. By using its high parallelism and attention mechanism, the forwarding behavior of opinion leaders can be predicted more efficiently and accurately.
[Results] Combining with the mining results of opinion leaders and the prediction results of propagation behaviors, the critical propagation paths composed of opinion leaders are effectively predicted in the process of public opinion propagation.
[limitation] The research and experiment of this paper are mainly oriented to Sina Weibo.
[Conclusions] The experimental results of an actual case of public opinion propagation in microblog show that the opinion leader mining model and propagation behavior prediction model proposed in this article can not only mine opinion leaders more accurately, but also effectively predict the critical paths in the process of public opinion propagation.
徐雅斌, 孙秋天.
特定舆情的意见领袖挖掘和关键传播路径预测
[J]. 数据分析与知识发现, 10.11925/infotech.2096-3467.2020.1027.
XU Ya-Bin, SUN Qiu-Tian.
Mining of Opinion Leaders and Prediction of Critical Propagation Paths for Specific Public Opinion
. Data Analysis and Knowledge Discovery, 0, (): 1-.