Dr. Zoran Obradovic has been awarded another exciting DARPA grant related to big data analysis. For this four year $2,907,908 project started in August2012, entitled „Prospective Analysis of Large and Complex Partially Observed Temporal Social Networks“ Prof. Obradovic is the principal investigator and co-investigators are Prof. Emily Fox at University of Washington Statistics Department and Prof.
Katya Scheinberg at Lehigh University Industrial and Systems Engineering Department. The analysis of social networks often assumes a time invariant scenario, while in practice actor attributes and links in such networks evolve over time and are inextricably dependent on each other.
In addition, the temporal graph is just partially observed, multiple kinds of links exist among actors, various actors have different temporal dynamics and environmental influence can be both positive and negative. This project will closely examine the hypothesis that a unified approach of jointly modeling these and related problems is beneficial for prospective analysis of large-scale partially observed temporal hypergraphs.