Date Added: Aug 2011
This paper tried to apply cloud computing technology in social network analysis for a comprehensive home financial learning environment that individual investors may use as a reference in establishing web-based learning and investment platforms. The major contributions were described in three parts. First, this paper advanced the social network analysis technology to be able to handle millions of nodes and links. Second, the authors demonstrate how cloud computing can be applied to advanced computing in social network. Third, they performed several intelligent analyses on a very popular social network, IHFILE, to identify some interesting and important features of it.