Analysis of the Information Behavior of Cluster Users in Teachers´ Professional Development Virtual Community

By applying the matrix method, sociogram and statistical analysis method, this paper has made an analysis of users´ exchange data collected through web spiders in the teachers´ professional development community, results of which show that there exists comparatively much communication between internal members of the virtual community, and some members have already established a relatively close relationship. However, on the whole, the link between community members is limited and belongs to a relatively sparse network, community users can be clustered into different clusters, and there exist obvious characteristics in different users´ information behavior, the In-degree and Out-degree of community cluster users are in a significant positive correlation, so are the number of posts replies and the number of post replies obtained of cluster users.