DefinePK

Abstract

The identification of communities is significant for the understanding
of network structures and functions. In this study, we propose a framework to
address the problem of community detection in bipartite networks based on principal
components analysis. We apply the algorithm to real-world network data, showing
that the algorithm successfully finds meaningful community structures of bipartite
networks.