Stability is the measure of regional resistance to political, economic, social and structural degradation or deterioration. Stabilizing mechanisms seek to create an environment for a populace that is legitimate, acceptable, and predictable. In today’s strategic context, local, national and regional stability is extremely dynamic; constantly influenced by state and non-state actors, media, financial organizations and behaviors, natural events, and various types of human conflict. While stability is of vital U.S. interest, diminishing resources require innovative and creative solutions that start with a full understanding of any given stability situation. Our research developed a tool that drives data collection methodology by U.S. Army Civil Affairs Teams and Security Force Assistance Teams, fuses this with open source data, and conducts initial analysis and data visualization for consumption by military commanders up to and including Combatant Commands. This tool uses a Risk Framework developed by U.S. Pacific Command’s Socio-cultural Analysis Team. This framework views regional, national, and sub-national stability environments through analysis of Humanitarian Crisis, Outlier and Recalcitrant States, Regional Power Balancing, Economic Insecurity, and Violent Extremism.


Final Presentation (2014)

Final Poster

WebApp for exploring GDELT Data in Bangladesh and Paraguay

Final Excel Model

Several cadets participated in related research during their summer AIAD’s (internships) with Data Tactics in Virginia.  They used the Global Database of Events, Language, and Tone (GDELT) to assess sentiment and social networks in Dhaka, Bangladesh. Their final reports are attached here.

Dhaka Sentiment Analysis (by Cadet James Cho)

Dhaka Network Analysis (by Cadet Caitlin Rowe)

This research continued in Academic Year 2014-2015.  Our abstract is here:


Our research uses Network Centrality metrics applied to the Global Knowledge Graph (GKG) to provide military tactical commanders with a tool that identifies influential individuals at the national and sub-national level. GKG aggregates the people, organizations, locations, and themes of English news sources from across the world using an enhanced TABARI (Text Analysis by Augmented Replacement Instructions) algorithm. We use several programming languages to download, query, and analyze the GKG data daily. We then apply network centrality metrics to identify the most important people and organizations in a selected area of interest. The most influential names are merged with a two-sentence description from Wikipedia. These algorithms were configured into an open-source web application. This model and tool will allow tactical leaders of regionally aligned units to rapidly understand and engage influential persons in their operating environment.


Paper (IEEE International Systems Conference)

Slides (2015 IEEE International Systems Conference)

Slides (Capstone Conference)


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