Social network analysis realization and exploitation

Jack H. Davenport; James J. Nolan

doi:10.1117/12.2184173

15 May 2015 Social network analysis realization and exploitation

Jack H. Davenport, James J. Nolan

Proceedings Volume 9499, Next-Generation Analyst III; 949906 (2015) https://doi.org/10.1117/12.2184173
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

Intelligence analysts demand rapid information fusion capabilities to develop and maintain accurate situational awareness and understanding of dynamic enemy threats in asymmetric military operations. The ability to extract meaning in relationships between people, objects, and locations from a variety of unstructured text datasets is critical to proactive decision making. Additionally, the ability to automatically cluster text documents about entities and discover connections between those documents allows the analyst to navigate an extremely large collection of documents. Analysts also demand a temporal understanding of the extracted relationships between entities and connections between documents. We describe approaches to automatically realize the social networks via concept extraction, relationship extraction, and document connection algorithms; we also describe approaches to exploit the network by visualizing the results to the analyst such that changes over time are evident.

Citation Download Citation

Jack H. Davenport and James J. Nolan "Social network analysis realization and exploitation", Proc. SPIE 9499, Next-Generation Analyst III, 949906 (15 May 2015); https://doi.org/10.1117/12.2184173

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