Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...
Malicious insiders’ difficult-to-detect activities pose serious threats to the intelligence community (IC) when these activities go undetected. A novel approach that integrates ...
Svetlana Symonenko, Elizabeth D. Liddy, Ozgur Yilm...
Relations between users on social media sites often reflect a mixture of positive (friendly) and negative (antagonistic) interactions. In contrast to the bulk of research on soci...
Jure Leskovec, Daniel P. Huttenlocher, Jon M. Klei...
In today’s data-rich networked world, people express many aspects of their lives online. It is common to segregate different aspects in different places: you might write opinion...
Dan Frankowski, Dan Cosley, Shilad Sen, Loren G. T...
A significant and growing class of location-based mobile applications aggregate position data from individual devices at a server and compute aggregate statistics over these posi...
Raluca A. Popa, Andrew J. Blumberg, Hari Balakrish...