[目的/意义]文章厘清信息疫情中用户、行为和竞争性信息传播之间的作用关系，揭示信息疫情的生成和 传播规律，为信息疫情干预政策的制定提供理论支撑。[方法/过程]文章以复杂网络理论为支撑，以新浪微博平台 为参照，抽取用户、信息、行为之间的关联作用机理，综合运用Logistic模型和行为博弈模型建立信息疫情竞争性 信息传播模型，采用计算实验方法对模型进行验证。[结果/结论]研究表明，用户的原创、转发、评论行为均会影响 用户对信息疫情的易感性以及信息疫情中真假信息的竞争性传播；重建用户行为秩序，引导用户生成高质量的真 实信息，是帮助用户免受信息疫情影响的有效策略。

[Purpose/significance] To clarify the relationship between users, behaviors and competitive information dissemination in infodemic, the paper reveals the laws of infodemic generation and dissemination, and provides theoret? ical support for the formulation of infodemic intervention strategies.[Method/process] Supported by complex network theory and Sina Weibo platform as a reference, the correlation mechanism between users, information and behaviors was extracted, and the Logistic model and behavioral game model were comprehensively used to establish a competitive information dissemination model for infodemic. The model is validated by computational experiments. [Result/conclu? sion] The research shows that users' originality, forwarding, and commenting behaviors will affect users' susceptibility to infodemic and the competitive dissemination of true and false information in infodemic. Rebuilding the order of user behavior and guiding users to generate high-quality true information is an effective strategy to help users avoid the im? pact of infodemic.