With the emergence of Web 2.0 and the rapid development of social networking, it is important to study online behavior. We started to download posts from Tianya Forum using spider program since October 2010. This paper analyzes the pattern of online behavior based on the posts at Tianya Zatan Board in 2012. The results show that users have fewer online activities on holidays and weekends, and users' posting behavior is in accordance with daily routine. Furthermore, the distribution of clicks follows a mixed distribution of Poisson and power-law, while the amount of user's posts, replies and survival periods satisfy power-law distribution. That is to say, only a few hot posts have high clicks or replies and long survival periods, while most posts are not concerned much, leading us to study hot posts. We propose one method to measure the hotness of the posts and develop a hot post push program. It is found that the very hot updated posts keep steady and their societal risk is labeled and observed.
赵永亮，唐锡晋. 基于天涯论坛的BBS 在线行为分析[J]. 系统科学与数学, 2015, 35(2): 129-141.
ZHAO Yongliang,TANG Xijin. ONLINE BEHAVIOR ANALYSIS BASED ON TIANYA FORUM. Journal of Systems Science and Complexity, 2015, 35(2): 129-141.