Before revision:  we also analysed a social network  of users and positively-rated movieson the films layer: in this caseour approach divides movies in clusters of similar genres or audience .
After revision:  we also analysed a social network of users and rated movies) and an economic network (i.e. the countries-products World Trade Web representation): while, in the first case, projecting MovieLens on the films layer allows clusters of movies belonging to similar genres to be detected, in the second case, projecting the World Trade Web on the countries layer reveals a modular structure of similarly-industrialized clusters of nations .