Microblogging Social Network Structure And Analysis To Study

This article is a research about micro-blog, a new Internet media of web 2.0. In the research, the main target is China’s largest micro-blog-Sina Weibo. This paper first introduces the micro-blog, and some of the basic features of micro-blog. This articles use the open API of Sina Weibo opening platform which based on the use OAuth authorization. The program algorithm can automatically obtain Sina Weibo data. Access to data from Sina Weibo, this article does some analysis, and constructed of micro-blog fans and friends for the degree of micro-blog social network. In this paper, the HTML5 canvas tag is used to showing on the visual displaying of micro-blog social network. Finally, the paper uses a new algorithm Fans Rank which based on Page Rank to point out the keyman of the micro-blog social network. The keyman of the micro-blog social network has the largest sum of Fans Rank, which is the value of the total number of friends number divided by the total number of fans number, as the key evaluation criteria, extracted keyman a the specified range of micro-blog social network.