  Revealing the community structure exhibited by real networks is a fundamental
phase towards a comprehensive understanding of complex systems beyond the local
organization of their components. Community detection techniques help on
providing insights into understanding the local organization of the components
of networks. In this study we identify and investigate the overlapping
community structure of an interesting and unique case of study: the Estonian
network of payments. In order to perform the study, we use the Clique
Percolation Method and explore statistical distribution functions of the
communities, where in most cases we found scale-free properties. In this
network the nodes represent Estonian companies and the links represent payments
done between the companies. Our study adds to the literature of complex
networks by presenting the first overlapping community detection analysis of a
country's network of payments.
