More and more important data is accumulated inside social networks. Limiting the flow of private information across a social network is very important, and most social networks pr...
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
In this paper we describe the development of a platform that enables us to systematically study online social networks alongside their real-world counterparts. Our system, entitle...
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...
Social network popularity continues to rise as they broaden out to more users. Hidden away within these social networks is a valuable set of data that outlines everyone’s relatio...
Thomas Tran, Kelcey Chan, Shaozhi Ye, Prantik Bhat...