Studies on a multidimensional public opinion network model and its topic detection algorithm

作者：

Highlights：

• The multidimensional network model oriented at the public opinions on “We the Media” is built.

• An algorithm for topic detection in multidimensional public opinion networks is proposed.

• The Topic Detection Algorithm is effective at detecting topics from the information on “We the Media”.

• By defining the psychological scores of paired keywords, we can effectively analyze the sentiment tendency of each topics.

摘要

•The multidimensional network model oriented at the public opinions on “We the Media” is built.•An algorithm for topic detection in multidimensional public opinion networks is proposed.•The Topic Detection Algorithm is effective at detecting topics from the information on “We the Media”.•By defining the psychological scores of paired keywords, we can effectively analyze the sentiment tendency of each topics.

论文关键词：“We the Media” era,Online public opinion,Multidimensional network model,Edge clustering,Topic detection algorithm

论文评审过程：Received 2 November 2017, Revised 5 October 2018, Accepted 23 November 2018, Available online 9 January 2019, Version of Record 9 January 2019.

论文官网地址：https://doi.org/10.1016/j.ipm.2018.11.010