Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
The explosive growth of photos/videos and the advent of mediasharing services have drastically increased the volume of usercontributed multimedia resources, which bring profound s...
We present a methodology for enhancing the delivery of usergenerated content in online social networks. To this end, we first regularize the social graph via node capacity and li...
—Social network methods are frequently used to analyze networks derived from Open Source Project communication and collaboration data. Such studies typically discover patterns in...
Roozbeh Nia, Christian Bird, Premkumar T. Devanbu,...
The Open Government Directive is making US government data available via websites such as Data.gov for public access. In this paper, we present a Semantic Web based approach that ...
Li Ding, Dominic DiFranzo, Alvaro Graves, James Mi...