Optimizing Social Network Analysis
Focus Area: Decision, Planning, and Analytical Tools
Description: Create an integrated system based on the company’s Sintelix product to provide high performance information extraction, entity resolution, clustering, anomaly detection, interest detection, interactive network visualization, and real-time generation of alarms and warnings.
Project Cost: $0.570
Project Duration: 24 months
Operational Impact: Social Network Analysis and crime clustering depend on accurate scalable clustering algorithms. This project significantly improves the quality of clustering by providing a software that optimizes clustering metrics by learning from historical data in which the clusters are known.
Deliverables: Reports and software
Performer: Semantics Science Pty Ltd
End Users: Customs and Border Protection, U.S. Army Engineering Research and Development Center, U.S. Army Maneuver Support Center; U.S. Northern Command; Army G2 IREMS, JIEDDO, AFRICOM