Community detection in networks is one of the most popular topics of modern network
science. Communities, or clusters, are usually groups of vertices having higher probability of …

Community structure is of paramount importance for the understanding of complex networks.
Consequently, there is a tremendous effort in order to develop efficient community detection …

A community within a network is a group of vertices densely connected to each other but
less connected to the vertices outside. The problem of detecting communities in large …

Uncovering the community structure exhibited by real networks is a crucial step towards an
understanding of complex systems that goes beyond the local organization of their …

Community detection is a very active field in complex networks analysis, consisting in
identifying groups of nodes more densely interconnected relatively to the rest of the network …

Uncovering the community structure exhibited by real networks is a crucial step toward an
understanding of complex systems that goes beyond the local organization of their …

20 years of network community detection | Nature Physics Skip to main content Thank you for
visiting nature.com. You are using a browser version with limited support for CSS. To obtain the …

Community detection is one of the most active fields in complex network analysis, due to its
potential value in practical applications. Many works inspired by different paradigms are …

Algorithms to find communities in networks rely just on structural information and search for
cohesive subsets of nodes. On the other hand, most scholars implicitly or explicitly assume …

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 …