Complex Network Analysis of Global Conflicts
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This project involved applying complex-network analysis metrics to a live dataset of global conflict events to explore the dynamics of formation and counter-formation in conflict zones. I partitioned the data into friend/enemy networks based on allegiances at particular conflict events and explored scaling, betweenness, clustering, and distance metrics to better understand how conflict propagates.