Measuring and profiling the topical influence and sentiment contagion of public event stakeholders
作者：
Highlights：
• Four indicators about topical and sentiment propagation are proposed.
• The diversity of microblogging emotions varies inversely with the number of microblog entries across different stages.
• About 61.4 % of the retweets that disseminated the same topic(s) as the original posts brought the same emotion(s).
• The stakeholder types with high topical influence usually have low sentiment influence and vice versa.
• The stakeholder types with high topical/sentiment influence spread information to those with low influence.
摘要
•Four indicators about topical and sentiment propagation are proposed.•The diversity of microblogging emotions varies inversely with the number of microblog entries across different stages.•About 61.4 % of the retweets that disseminated the same topic(s) as the original posts brought the same emotion(s).•The stakeholder types with high topical influence usually have low sentiment influence and vice versa.•The stakeholder types with high topical/sentiment influence spread information to those with low influence.
论文关键词：LDA,Latent Dirichlet Allocation,Topical influence,Sentiment contagion,Microblogging,Public event,Stakeholder
论文评审过程：Received 11 July 2019, Revised 24 January 2021, Accepted 29 January 2021, Available online 16 February 2021, Version of Record 16 February 2021.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2021.102327
