Social Networks in Context

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,999.00
Award Year:
2008
Program:
SBIR
Phase:
Phase I
Contract:
FA8750-08-C-0174
Award Id:
86850
Agency Tracking Number:
F081-021-0890
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1235 South Clark Street, Suite 400, Arlington, VA, 22202
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
036593457
Principal Investigator:
Jessica Bradley
Manager, Intelligent Agent Systems
(703) 682-1735
jessica.bradley@dac.us
Business Contact:
Kelly McClelland
Director, Corporate Business Office
(703) 414-5024
kelly.mcclelland@dac.us
Research Institute:
n/a
Abstract
The asymmetric threat poses perhaps the most dangerous risk to US forces and assets both overseas and at home. Because of the sheer amount of data available, building dynamic, complex social networks to represent terrorist activities can be very difficult. To overcome this problem, we must identify and utilize advanced techniques to automatically build social networks while also understanding the context they represent. The Decisive Analytics Corporation (DAC) Team proposes an approach termed SOcial Networks In Context (SONIC). SONIC builds on social networking capabilities DAC has already built and additionally provides the capability to identify and understand the roles of different nodes, understand the semantic relationships between entities and automatically identify important clusters of entities within a dynamic social network. Our advanced algorithms developed under this effort will be immediately tested on live data from the theater through DAC's BOBCAT system - a tool that is on the GSA schedule and in the hands of the Warfighter performing predictive analysis on Iraq data today.

* information listed above is at the time of submission.

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