|Acquisition Program: || Objective: ||The objective of this topic is to develop tools to automate/speed the construction of dynamic meta-data social networks to aid analysis of the interdependencies of complex social networks.
|| Description: ||The most time consuming part of network analysis is network construction. Tools that help the analyst determine network relationships through automation and/or through "wizard" help/dialog systems may help reduce construction time and allow for more detailed actionable intelligence and/or faster delivery to supported units. Existing tools (e.g. Organizational Risk Analyzer (ORA)) are based on social science theories and have import and visualization tools. However, as general purpose tools, these network analysis products require significant training and human-in-the-loop interaction to produce useable analysis products. Tools should be designed to work with these products (vice building a new standalone product) to provide improved performance in development of analysis products.
|| ||PHASE I: Analyze the bottlenecks/challenges to rapid construction of dynamic meta-data social networks. Provide approach to development of tools/methods to reduce the time to construct social networks. Approach should quantify expected gains through tools/methods.
|| ||PHASE II: Build demonstration tools/methods that show quantifiable improvements over status quo in complex social network constructions. Develop at least 3 use cases to measure improvements in constructing networks and resultant analysis products. Quantification should include, as a minimum, a 50% reduction in time to produce actionable analysis products.
|| ||PHASE III: Build prototype tools/methods that can demonstrate real world application improvements. Historical exercises/analysis should be used to clearly demonstrate quantifiable improvements in network construction and actionable analysis products.
|| References: || Carley, Kathleen & Reminga, Jeffrey & Storrick, Jon & DeReno, Matt. (2009). ORA User’s Guide 2009. Carnegie Mellon University, School of Computer Science, Institute for Software Research, Technical Report CMU-ISR-09-115
 Carrington, Peter J. & Scott, John & Wasserman (editors), Stanley, Models And Methods In Social Network Analysis, Cambridge ; New York : Cambridge University Press, 2005
 Wasserman, Stanley, and Faust, Katherine, Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press. 1994
|Keywords: ||Social networks, Dynamic networks, Intelligence, Social network analysis |