论文标题
用户情感对中国新人 - 微宝石中公共情感的信息传播的影响
Influence of User Emotion on Information Propagation with Public Sentiment in the Chinese Sina-microblog
论文作者
论文摘要
社交网络充满了不同的情感信息，其传播有助于塑造公众情绪的发展。为了帮助设计事件的整个开发期间有效的沟通策略，我们提出了一个基于情感的易感性 - 免疫（E-SFI）传播动态模型，该模型将情绪类别考虑到积极，中立和消极的情绪以及用户社区的情感选择，以调查导致公众情感的信息传播过程。我们基于模型的分析和数值分析表明，我们的E-SFI模型中涉及的三种转发概率符合实际事故情况，我们的敏感性分析描述了影响用户社区的情感选择的重要因素，以支持对指导公众情绪的决策策略的情感选择。
Social networks are flooded with different pieces of emotional information, the propagation of which helps to shape the development of public sentiment. To help designing effective communication strategies during the entire development of an event,we propose an emotion-based susceptible-forwarding-immune (E-SFI) propagation dynamic model, that takes into account of the categories of emotions into positive, neutral and negative and the emotional choices of user communities, to investigate the information propagation process that leads to public sentiment. Our Model-based analytic and numerical analyses show that three types of forwarding probabilities involved in our E-SFI model are in accordance with the actual accident situation, and our sensitivity analyses describe important factors that affect the emotional choices of user communities in support for decision strategies to guide the public sentiment.
