Abstract—Today, social networking has become a popular
web activity, with a large amount of information created by
millions of people every day. In this paper, we focus on Sina
Weibo, a rapidly growing microblogging platform, which
provides a large amount, diversity and varying quality of
content. Our research is from a regional perspective, and focus
on the information propagation process. By measuring the real
behavior of the user’s blog sharing, we construct the network
model of information follow and forward. We found that a
small group of nodes can cover the most of the communication
behavior of the information propagation. Then, we proposed a
new method to rank the users, and proposed an evaluation
based on real measurement coverage. Compared to similar
algorithms to verify its effectiveness and accuracy.
Index Terms—Information propagation, microblog, social
network, user identify.
Liang Zhang is with the National Computer network Emergency
Response technical Team Coordination Center of China (CNCERT/CC),
China (e-mail: zl@isc.org.cn).
Dan Liu and Xu Shi are with the International Business Machines
Corporation (IBM).
[PDF]
Cite:Liang Zhang, Dan Liu, and Xu Shi, "Algorithms and Analysis of Identifying Regional Key
Users of Microblog," International Journal of Future Computer and Communication vol. 3, no. 2, pp. 108-112, 2014.
