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 …

Across many scientific domains, there is a common need to automatically extract a simplified
view or coarse-graining of how a complex system's components interact. This general task is …

For many networks of scientific interest we know both the connections of the network and
information about the network nodes, such as the age or gender of individuals in a social …

We propose and study a set of algorithms for discovering community structure in networks—
natural divisions of network nodes into densely connected subgroups. Our algorithms all …

Inspired by empirical studies of networked systems such as the Internet, social networks,
and biological networks, researchers have in recent years developed a variety of techniques …

Many networks of interest in the sciences, including social networks, computer networks,
and metabolic and regulatory networks, are found to divide naturally into communities or …

Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

A key aim of postgenomic biomedical research is to systematically catalogue all molecules
and their interactions within a living cell. There is a clear need to understand how these …

The discovery and analysis of community structure in networks is a topic of considerable
recent interest within the physics community, but most methods proposed so far are …