Abstract: ［Purpose/Significance］This paper systematically analyzes users’ participating behavior patterns on the Emuch Forum, which intends to provide reference to improve system construction and service, as well as to promote healthy development for Chinese online academic community. ［Design/Methodology］Taking the Emuch Forum as an example, this study combines qualitative content coding with statistical analysis, and conducts text analysis for the collected data, which involves five disciplines including Polymer, Micro and Nano, Simulation, Pharmacy, Finance and Investment, and consists of the information of 431 users, 513 posts and 38423 reviews. ［Findings/Conclusion］Users at different levels have different participating modes. There are various types of resource in users’ interaction in Chinese online academic communities. Supportive emotional information exists in all disciplines, while personal viewpoints and indepth connections account for a relatively low proportion. ［Originality/Value］This paper makes up for the paucity of text semantic analysis on users’  interaction in Chinese online academic community, systematically explores users’ participating modes of different disciplines, users’ demand preference of sharing resources and so on. This paper enriches the research perspectives of users’ participating behaviors in online academic community.

Key words: Online academic community； Users’ participating behavior, Content analysis, User type, Social emotion