Characterizing User Behavior in Weibo

Online social networks (OSNs) have become the most popular services on the Internet, and such systems have become part of users´ life all over the world. They visit such systems every day and spend more and more time on them. So understanding users´ behavior is important to understand such systems. This paper presents results from our measurement on the large-scale OSN spanned by Weibo, the most prevalent and largest microblog system in China at present. Here we talked about two topics: (I) who use Weibo, and (II) what is the users´ behavior. We spend one year to persistently observe Weibo, and using API to collect more than 20 million users´ profiles to find out that they are and what is their behavior, which is rarely discussed by other researchers. Our studies reveal the users´ behavior in Weibo, and we believe our findings make opportunities for in-depth studies of online social network and improve design of such systems.