diff --git a/README.md b/README.md new file mode 100644 index 0000000..321de13 --- /dev/null +++ b/README.md @@ -0,0 +1,21 @@ +# trade-communities +Predicting international trade communities from world development indicators + +## The problem + +This project aimed to determine the predictive power of world +development indicators for international trade communities, while inspecting changes and trends in +these communities over time. It was hypothesized that world development indicators may contain the +right balance of both sociologically and economically-driven information to predict international trade +communities. + +In order to test this hypothesis, a weighted, directed network was created using export FOB data +from the International Monetary Fund’s (IMF) Direction of Trade (DOT) statistics. Communities were +found in this network using the modularity maximization algorithm explained in [1]. These community +classifications were then predicted from the World Bank’s World Development Indicators using a +random forest classifier. + +## References + +1. Leicht EA, Newman ME. “Community structure in directed networks”. Phys Rev Lett. 2008 +Mar 21; 100(11):118703. Epub 2008 Mar 21.