GENNET: Advanced System for Synthesis of High Fidelity Social Networks to support SHIELD

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-13-C-0048
Agency Tracking Number: 11SB2-0090
Amount: $988,868.00
Phase: Phase II
Program: SBIR
Awards Year: 2012
Solicitation Year: 2011
Solicitation Topic Code: SB112-004
Solicitation Number: 2011.2
Small Business Information
1924 Glen Mitchell Road, Sewickley, PA, -
DUNS: 801266102
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Eric Malloy
 Principle Systemes Archit
 (412) 638-3123
Business Contact
 Larry Carley
Title: CFO
Phone: (412) 953-8818
Research Institution
Our objective is to provide a semi-automated system to generate and verify scalable, high fidelity, multi-dimensional, social networks with realistic distributional, temporal and spatial characteristics as networks and as event sequences. This enables the user to generate networks varying in size, node attributes, geo-temporal characteristics, consistency with other networks, and reflection of known subpopulations, in formats used by standard network analytic and temporal network packages and algorithms. Generative algorithms will be informed by theory and empirical data regarding social media choice, network generation, structure and message content. We build synthetic networks with limited message content using a multi-algorithm approach employing subpopulation identification, empirical seeding, constraint satisfaction, multi-network alignment and topic filtering. A secondary feature of the proposed system will be the ability to layer onto the synthetic network hidden-covert networks or purposive networks designed to accomplish some task. Veridicality will be assessed on multiple dimensions; network density, distribution of centrality measures, temporal characteristics, spatial characteristics, and evolutionary properties. Deltas between temporal slices will be validated for key actor and topology at the subpopulation and network level. Synthetic and real networks varying in size, media usage, and member activities will be compared at the node, group, motif, and topology levels.

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

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