How about micro-blogging service in China

Abstract

Sina Micro-blog is the first micro-blogging service in China and is growing fast in recent two years. This paper first studies the characteristics of Sina online social network and then focuses on the problem of indentifying influential users. In a dataset prepared for this study, we find an approximate power-law follower distribution and a non-power-law friend distribution, a log correlation between follower number and tweet number, some time-distributing and geographical characteristics. We also find that the growing trend of Mobile market in China strongly affects the growing of micro-blogging service. In order to find the most popular users, we propose our algorithm called XinRank and compared it with the other two algorithms. The result shows that XinRank is different and really offers a new perspective for people to find these users. Also, our algorithm is dynamic and stability, which is special and better than the other two algorithms.