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China has the largest number of online users in the world and about 20%internet users are from China. This is a huge, as well as a mysterious, marketfor IT industry due to various reasons such as culture difference. Twitter isthe largest microblogging service in the world and Tencent Weibo is one of thelargest microblogging services in China. Employ the two data sets as a sourcein our study, we try to unveil the unique behaviors of Chinese users. We havecollected the entire Tencent Weibo from 10th, Oct, 2011 to 5th, Jan, 2012 andobtained 320 million user profiles, 5.15 billion user actions. We study TencentWeibo from both macro and micro levels. From the macro level, Tencent users aremore active on forwarding messages, but with less reciprocal relationships thanTwitter users, their topic preferences are very different from Twitter usersfrom both content and time consuming; besides, information can be diffused moreefficient in Tencent Weibo. From the micro level, we mainly evaluate users'social influence from two indexes: "Forward" and \Follower", we study howusers' actions will contribute to their social influences, and further identifyunique features of Tencent users. According to our studies, Tencent users'actions are more personalized and diversity, and the influential users play amore important part in the whole networks. Based on the above analysis, wedesign a graphical model for predicting users' forwarding behaviors. Ourexperimental results on the large Tencent Weibo data validate the correctnessof the discoveries and the effectiveness of the proposed model. To the best ofour knowledge, this work is the first quantitative study on the entireTencentsphere and information diffusion on it.

What is the Nature of Chinese MicroBlogging: Unveiling the Unique Features of Tencent Weibo