Dynamic Link Prediction

Marie desJardins and Max Morawski, MAPLE Laboratory, UMBC

The goal of this research is to apply statistical graph-theoretic techniques to identify patterns in large dynamic (temporally varying) networks that are predictive of link activity in the graph.  Example applications include citation networks (publication activity), social networks, terrorist activity, and e-commerce.