Statistical Models and Computational Methods for Community Detection in Large Networks

SPRING 2014 RESEARCH INCUBATION AWARDEES

Luis Carvalho (Mathematics & Statistics, College of Arts and Sciences) and Dino Christenson (Political Science, College of Arts and Sciences)

The main research goal is to investigate a fully novel statistical methodology to model networks and infer communities using innovative computational methods that formally address these issues in large networks and under a variety of network data. This research establishes interdisciplinary collaborations between two Hariri Institute Junior Fellows and is evaluating computational analytical models and methods within two important new applications domains, political science and neuroscience.

This work is funded by a Hariri Research Award made in June, 2014.