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Advanced Mathematics for Network Analysis

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-09-C-0466
Agency Tracking Number: 08SB2-0151
Amount: $99,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SB082-007
Solicitation Number: 2008.2
Timeline
Solicitation Year: 2008
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-06-17
Award End Date (Contract End Date): 2010-02-17
Small Business Information
1216 E. Baltimore St.
Baltimore, MD 21202
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Allen Tien
 Director of Applied Research
 (443) 224-8429
 allen@mdlogix.com
Business Contact
 Naiching Chen
Title: Administrator
Phone: (442) 278-8802
Email: ncc@mdlogix.com
Research Institution
N/A
Abstract

The goal of this project is use Answer Set Programming (ASP) methods to create a commercially viable software application (“SocioLogix™”) for social network analysis (SNA). Recent developments in Answer Set Programming and propositional satisfiability checking (SAT-checking) have potential to extend the power of software to use techniques of rule-based or “qualitative” optimization to find optimal answers to NP-complete problems (i.e., problems for which solutions have a certain level of difficulty to compute) that arise in SNA, and to allow these problems to be defined on a study-specific basis. The SocioLogix software will extend the existing SocioMetrica system, which currently consists of the EgoNet, LinkAlyzer, and VisuaLyzer applications. These integrated applications provide functions for distributed and secure social network (SN) data collection, management, analysis, and visualization functions. Data may be visualized as node and edge graphs and analyzed using a number of standard SNA techniques that are directly provided by SocioMetrica, or are provided via common data formats by other software packages. SocioLogix will add ASP functionality to the SocioMetrica suite, thereby providing a radically new approach for flexible analysis of important problems in SNA. The initial area to be addressed in Phase I is Graph Decomposition. In Phase II, Stable Attribute Assignment and Egonet Aggregation will be addressed, guided by DoD functional priorities and web-based deployment and interface design.

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

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