The expansion of the web and emergence of a large number of social networking sites
(SNS) have empowered users to easily interconnect on a shared platform. A social network …

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 introduce a new algorithm for modularity-based community detection in large networks.
The algorithm, which we refer to as a smart local moving algorithm, takes advantage of a …

The increasing power of computer technology does not dispense with the need to extract
meaningful information out of data sets of ever growing size, and indeed typically …

Social networks exhibit a very special property: community structure. Understanding the
network community structure is of great advantages. It not only provides helpful information …

A modularity-specialized label propagation algorithm (LPAm) for detecting network
communities was recently proposed. This promising algorithm offers some desirable …

Modularity is a widely used quality measure for graph clusterings. Its exact maximization is
NP-hard and prohibitively expensive for large graphs. Popular heuristics first perform a …

Modularity is a widely used quality measure for graph clusterings. Its exact maximization is
prohibitively expensive for large graphs. Popular heuristics progressively merge clusters …

Community structure is one of the most commonly observed features of Online Social
Networks (OSNs) in reality. The knowledge of this feature is of great advantage: it not only …

Complex networks are popularly used to represent a lot of practical systems in the domains
of biology and sociology, and the structure of community is one of the most important …