This paper proposes a new methodology based on non-negative matrix factor- ization to detect communities and to identify Systemically Important Financial In- stitutions in the interbank network as well as within communities. The method is specifically designed for directed weighted networks and...

Regarding complex networks, one of the most relevant problems is to understand and to explore community structure. In particular it is important to define the network organization and the functions associated to the different network partitions. In this context, the idea is to consider some new...

This paper proposes a new methodology based on non-negative matrix factorization to detect communities and to identify Systemically Important Financial Institutions in the interbank network as well as within communities. The method is specifically designed for directed weighted networks and it...