Modelling the dynamic emotional information propagation and guiding the public sentiment in the Chinese Sina-microblog
作者：
Highlights：
• Combining information dynamic model with public sentiment analyses represented by three kinds of emotions.
• Dividing population into five states: the susceptible state, the positive forwarding state, the neutral forwarding state, the negative forwarding state, and the immune state.
• The behavior of users, that they have emotional choices after contacting a piece of information with specific emotion is studied in the dynamic model.
• The emotion which is consistent with the keynote of the original information is far more than that of other emotions, but the other emotions should not be ignored.
• Effective communication strategies are identified to guide the public sentiment based on parametric analyses.
摘要
•Combining information dynamic model with public sentiment analyses represented by three kinds of emotions.•Dividing population into five states: the susceptible state, the positive forwarding state, the neutral forwarding state, the negative forwarding state, and the immune state.•The behavior of users, that they have emotional choices after contacting a piece of information with specific emotion is studied in the dynamic model.•The emotion which is consistent with the keynote of the original information is far more than that of other emotions, but the other emotions should not be ignored.•Effective communication strategies are identified to guide the public sentiment based on parametric analyses.
论文关键词：Emotional choice,Public sentiment,Dynamic model,Information propagation
论文评审过程：Received 24 November 2020, Revised 3 December 2020, Accepted 7 December 2020, Available online 28 December 2020, Version of Record 28 December 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125884
