论文标题
量化意见领导者对COVID-19的意见传播延迟的影响，中国墨西哥银行的信息传播
Quantify Influence of Delay in Opinion Transmission of Opinion Leaders on COVID-19 Information Propagation in the Chinese Sina-microblog
论文作者
论文摘要
在快速发展的重大公共卫生危机（例如COVID-19大流行）中，可以依次将多种相关信息发布到社交媒体平台中。随后的发布时间之间的间隔可能会对旧信息和新信息的传输和交叉传播产生不同的影响，从而导致新信息的转发用户的不同峰值和最终大小，具体取决于内容相关性以及新信息是在爆发还是在旧信息的准爆发中发布的新信息。为了帮助设计有效的沟通策略，以确保将信息传递给最大数量的用户，我们开发和分析了两类易感 - 免疫信息信息传播模型，并延迟传输，以描述相关信息的交叉传播过程。我们使用来自Sina-Microblog的真实数据对这些模型进行参数，并使用参数化模型来定义和评估相互吸引力指数，我们使用这些指数和参数灵敏度分析来告知策略，以确保在微博中有效地传播新信息的最佳策略。
In a fast evolving major public health crisis such as the COVID-19 pandemic, multiple pieces of relevant information can be posted sequentially in a social media platform. The interval between subsequent posting times may have different impact on the transmission and cross-propagation of the old and new information to result in different peak value and final size of forwarding users of the new information, depending on the content correlation and whether the new information is posted during the outbreak or quasi steady state phase of the old information. To help in designing effective communication strategies to ensure information is delivered to the maximal number of users, we develop and analyze two classes of susceptible-forwarding-immune information propagation models with delay in transmission, to describe the cross-propagation process of relevant information. We parametrize these models using real data from the Sina-Microblog and use the parametrized models to define and evaluate mutual attractiveness indices, and we use these indices and parameter sensitivity analyses to inform strategies to ensure optimal strategies for a new information to be effectively propagated in the microblog.
