Modularity-Based Clustering Approaches for Economics Networks

In this paper we analyze modularity-based algorithms to obtain clustering of economics data sets. In particular, we investigate whether there are correlations between the financial data flows between different countries and economic agreements between countries. We apply different methods to both data sets and compare the obtained results by a maximum weight matching. Surprisingly, we see that there is not a very strong correlation between financial flows and agreements between countries.