SEmantic Context Aware Network Tools (SECANT)

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$100,000.00
Award Year:
2013
Program:
STTR
Phase:
Phase I
Contract:
W911NF-13-C-0035
Award Id:
n/a
Agency Tracking Number:
A12A-009-0091
Solicitation Year:
2012
Solicitation Topic Code:
A12a-T009
Solicitation Number:
2012.A
Small Business Information
1235 South Clark Street, Suite 400, Arlington, VA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
036593457
Principal Investigator:
TimHawes
Scientist
(703) 414-5032
timothy.hawes@dac.us
Business Contact:
DanaHo
Contracts Manager
(703) 414-5016
dana.ho@dac.us
Research Institute:
Cornell University
Jeffrey Hancock
320 Kennedy Hall
Ithaca, NY, 14853-
(607) 255-4452

Abstract
Social network analysis has become one of the most powerful analytic tools in both private and government sectors and a key source of information on individuals and groups. Recently, social media arose as an important source for social network data in both sectors. Unfortunately, theoretically motivated approaches to social network analysis have not been able to keep pace with the new informational character of social media. Social media offers a previously unheard of volume and variety of data making possible richer analyses, but also introducing greater levels of complexity and noise. We propose a system called SEmantic Context Aware Network Tools (SECANT). SECANT is motivated by the observation that traditional research methodologies in the fields of structural network analysis, sociologically and psychologically theory and content mining each contain gaps the other fields can fill. The goal of SECANT is to enable hybrid methodologies from these fields that will produce analytic tools which yield more meaningful and relevant results. SECANT blends the scalability of traditional SNA with sociology"s awareness of social context, and content mining"s awareness of semantic context of its base fields to accomplish this goal.

* information listed above is at the time of submission.

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