Over the past few years, the number and volume of data sources in healthcare databases
has grown exponentially. Analyzing these voluminous medical data is both opportunity and …

The modern science of networks has made significant advancement in the modeling of
complex real-world systems. One of the most important features in these networks is the …

This article reviews the state-of-the-art in overlapping community detection algorithms,
quality measures, and benchmarks. A thorough comparison of different algorithms (a total of …

Detecting and analyzing dense groups or communities from social and information networks
has attracted immense attention over the last decade due to its enormous applicability in …

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 …

Networks, also called graphs by mathematicians, provide a useful abstraction of the
structure of many complex systems, ranging from social systems and computer networks to …

Brain networks are increasingly understood as one of a large class of information
processing systems that share important organizational principles in common, including the …

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 …

We propose a simple method to extract the community structure of large networks. Our
method is a heuristic method that is based on modularity optimization. It is shown to …

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 …