The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

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 …

We consider the problem of detecting communities or modules in networks, groups of
vertices with a higher-than-average density of edges connecting them. Previous work …

The rich set of interactions between individuals in society,,,,,, results in complex community
structure, capturing highly connected circles of friends, families or professional cliques in a …

Networks can describe the structure of a wide variety of complex systems by specifying
which pairs of entities in the system are connected. While such pairwise representations are …

Over the past decades it has become clear that the metaphor of networks–ensembles of
discrete nodes connected by links–offers a powerful conceptual framework for the …

A search technique locating network modules, ie internally densely connected groups of
nodes in directed networks is introduced by extending the clique percolation method …

According to Fortunato and Barthélemy, modularity-based community detection algorithms
have a resolution threshold such that small communities in a large network are invisible …