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: 12 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.

Deliverable:

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