虚拟社区的“开放性、共享性”为用户参与、共享知识提供了便捷的平台，用户参与成为虚拟社区内容生产的核心动力。本文以用户参与行为为切入点，结合有关创新、知识共享、虚拟社区的研究，构建了知识共享水平和用户参与行为的实证模型。以小米MIUI社区为例，运用Python网络爬虫获取2011-2014年“新功能讨论”板块用户想法数据，通过Logistic和Poisson回归得出结论。本研究从贡献价值、参与程度两个维度揭示了用户参与行为和知识共享水平（想法创新性、价值型）之间的关系，并依据用户参与行为的两个维度，将社区用户划分为四大类型，并针对用户属性提出社区运营的有效建议。

Virtual communities with its openness and sharing nature, provide a convenient platform for users to participate and share knowledge. Thus users become the core motive for generating content in virtual community. Based on related research on innovation, knowledge sharing and virtual communities, the empirical model considering users’ knowledge sharing level and participation behavior was proposed. Take MIUI community as an example, using the Python web crawlers to get data in "new feature discussion" section from 2011 to 2014, by leveraging Logistic and Poisson regression to perform the analysis. This study reveals the relationship between user participation and knowledge sharing levels, and in which user participation can be measured via users’ contribution value and participation level. Finally use Matlab clustering analysis and divide users into four types according to features of users participation behavior.

国家自然科学基金项目（面上项目，重点项目，重大项目）