Keneshloo, Y., Cadena, J., Korkmaz, G., & Ramakrishnan, N. (2014, June). Detecting and forecasting domestic political crises: a graph-based approach. In Proceedings of the 2014 ACM conference on Web science (pp. 192-196). ACM. http://dl.acm.org/citation.cfm?id=2615698
Forecasting a domestic political crisis (DPC) in a country of interest is a very useful tool for social scientists and policy makers. A wealth of event data is now available for historical as well as prospective analysis. Using the publicly available GDELT dataset, we illustrate the use of frequent subgraph mining to identify signatures preceding DPCs, and the predictive utility of these signatures through both qualitative and quantitative results.
June 24, 2014