[目的/意义]当前虚拟知识社区已成为人们交流信息和获取知识的重要渠道，尽管技术发展有效促进了知识和信息的传播效率，但是虚拟知识社区中的信息粘性现象仍然较为普遍。传统的信息扩散模型如Bass模型和传染病模型虽然在一定程度上可以模拟信息在虚拟知识社区中的传播过程，但是其难以解释产生信息粘性现象的内在原因。[方法/过程]本文将基于信息粘性理论提出一个研究框架，针对虚拟知识社区中用户生产的信息（回答和文章），研究内容包括信息粘性的程度测算，信息粘性的成因识别和信息粘性的演化形态分析，以期发现虚拟知识社区中产生信息粘性现象背后的原理，为提升虚拟知识社区中信息传播效率提供理论支撑。[结果/结论]通过探究虚拟知识社区中信息粘性的影响因素及其动态演化可以对信息传播的不均衡现象展开理论解释，完善现有信息传播理论模型研究的不足。

[Purpose/significance] The current virtual knowledge community has become an important channel for people to exchange information and acquire knowledge. Although technological development has effectively promoted the dissemination efficiency of knowledge and information, the phenomenon of information stickiness in virtual knowledge communities is still relatively common. Although the traditional information diffusion models such as Bass model and epidemic model can simulate the propagation process of information in the virtual knowledge community, it is difficult to explain the inherent causes of information stickiness. [Method/process] This paper proposes a research framework based on information stickiness theory, aiming at information (responses and articles) produced by users in the virtual knowledge community. The research content includes the measurement of information stickiness, the causes identification of information stickiness, and the evolution analysis of information stickiness. In order to discover the principle behind information stickiness in the virtual knowledge community, and provide theoretical support for improving information dissemination efficiency in the virtual knowledge community. [Result/conclusion] By exploring the influencing factors of information stickiness and its dynamic evolution in the virtual knowledge community, it is possible to develop a theoretical explanation of the imbalance phenomenon of information transmission and improve the shortcomings of the existing information transmission theoretical models.