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dc.contributor.authorBlais, Curtis
dc.contributor.authorStork, Kirk
dc.contributor.authorUpton, Steve
dc.contributor.authorEaton, Jeffrey
dc.contributor.authorHoffman, Matthew
dc.contributor.authorRollins, Steven
dc.dateMarch 2010
dc.date.accessioned2013-08-28T23:11:14Z
dc.date.available2013-08-28T23:11:14Z
dc.date.issued2010-03
dc.identifier.urihttp://hdl.handle.net/10945/35683
dc.descriptionfrom Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 8 Workshop 20en_US
dc.description.abstractTeam 6 continues to participate in an ongoing study to examine the utility of distillation modeling in the Counter-IED (Improvised Explosive Devices) fight. Understanding social networks, their nature in insurgencies and IED networks, and how to impact them, is important to the Counter-IED battle. Team 6 is exploring methods of extracting, analyzing, and visualizing dynamic social networks that are inherent in agent-based models in order to build tools to examine and manipulate insurgencies. We are starting with basic clique creation scenarios as the initial basis of our investigations and are examining the types of network statistics that can be used as MOEs and pointers to unique and emergent behaviors of interest.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleTeam 7: Data Farming to Support Model Validation of the BTRA-BC Battle Engine (BBE)en_US
dc.typeArticleen_US


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