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Forecasting Dynamic Group Behavior in Social Media

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: D13PC00042
Agency Tracking Number: D12B-002-0039
Amount: $99,990.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: ST12B-002
Solicitation Number: 2012.B
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-01-28
Award End Date (Contract End Date): 2013-07-27
Small Business Information
400 West Cummings Park, Suite 5850
Woburn, MA -
United States
DUNS: 964928464
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Erik Jensen
 Director of R&D
 (781) 503-3293
Business Contact
 Melinda Wood
Title: Manager, Business Operations
Phone: (603) 718-9800
Research Institution
 MIT Sloan School of Management
 Eliana Runyon
50 Memorial Drive
Cambridge, MA 02142-
United States

 (617) 253-3313
 Nonprofit College or University

We propose to develop novel, scalable technology for detection and of tracking of new and existing groups in social media, together with a comprehensive set of indicators for inferring group activities and interactions. Focusing initially on Twitter data, our approach will extend existing"static"models of community structure to properly fuse both topic-based and topological information, and will use a Markov chain Dirichlet process to model the evolution of this structure over time. We will also develop on-line variational methods for on-line group detection and tracking at web scale using this model. Finally, we will employ Bayesian methods and Granger causality to develop indicators of activities within and between groups, including recruitment and competition, and we also will use these indicators to improve group detection and tracking.

* Information listed above is at the time of submission. *

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