The modern science of networks has brought significant advances to our understanding of
complex systems. One of the most relevant features of graphs representing real systems is …

To comprehend the multipartite organization of large-scale biological and social systems,
we introduce an information theoretic approach that reveals community structure in weighted …

In most natural and engineered systems, a set of entities interact with each other in
complicated patterns that can encompass multiple types of relationships, change in time and …

Many complex networks display a mesoscopic structure with groups of nodes sharing many
links with the other nodes in their group and comparatively few with nodes of different …

Many real-world networks are so large that we must simplify their structure before we can
extract useful information about the systems they represent. As the tools for doing these …

We consider the problem of finding communities or modules in directed networks. In the
past, the most common approach to this problem has been to ignore edge direction and …