NETWORK CENTRALITY IN SUB-NATIONAL AREAS OF INTEREST USING GDELT DATA 11 July 2014 CDT Caitlin Rowe The Power of Partnership – from Vision to Reality
Introduction • Caitlin Rowe • Senior at United States Military Academy • Studying Systems Engineering Senior Project/Capstone with Data- Tactics for AY15 � � • Goals for 3 week summer internship • Make connections for help during academic year • Learn how to use Shiny • Explore GKG data for Dhaka, Bangladesh • Explore the utility of subnational analysis 2
Agenda • Data Analytics in the Military • Familiarization with GKG • Network Centrality Analysis for Military Application • GDELT Analysis Service • Shiny and Gephi Results • Communicating Conclusions to Military Leadership • Future Areas for Improvement 3
Data Analytics in a Military Context • Technological advances • Vast amounts of data • Sensors • Social Media Sites • HUMINT � • Used to increase • Efficiency • Accuracy 4
Data Analytics in a Military Context “Simply put, big data is now a fixture on the battlefield and across the global security landscape.” -Forbes http://www.forbes.com/sites/techonomy/2012/03/12/military-intelligence-redefined-big-data-in-the-battlefield/ 5
My Research • Guidance from project • Purpose for Research advisor • Assess GKG at subnational • GDELT level • Global Knowledge Graph • Determine influential individuals and • Dhaka, Bangladesh organizations � 6
Familiarization with Dataset • Global Knowledge Graph • Date, Event, People, • Collected from web, print, and Location, Tone, and broadcast news sources Article(url) 7
Network Centrality for Military Application • Identify leadership and key players in given area • Friendly and Enemy • Which centrality measure is the most important in a military operation? • Degree • Closeness • Betweenness 8
GDELT Analysis Service Email address Date range Key words Email containing GDELT .org analysis Analysis Service ex.filtered data, graph, map 9
GDELT Analysis Service • GKG Network • Heat map • Exporter • Geographic Network • Word Cloud 10
GDELT Analysis Service- GKG Network 11
Important Nodes 12
Shiny Filter Create Shiny App using R and that displays All GKG raw data create a network network, nodes, and (downloaded) (igraph) centrality measures 13
Current Static Network 14
Gephi Export network as Filter “.graphml” file using R and All GKG raw data create a network (downloaded) (igraph) Open network in Gephi and explore using built in tools 15
Gephi Network Example 16
Gephi Network Example http://webatlas.fr/tempshare/ForceAtlas2_Paper.pdf 17
Conclusions • Efficiency • The GKG Analysis Tools, Gephi, and Shiny all produce network visualizations that display network centrality. These results can aid military leaders’ decisions of who to target or exploit based on specific mission information. • Accuracy • All of the network information is gathered from news sources, so connections between individuals that are clandestine or informal might not be included. 18
Future Areas of Improvement • Shiny App • Change city, date range • Separate by community • Gephi • More seamless transition from R • Overall • Remove newspaper editors 19
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