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 …

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 …

Networks (or graphs) appear as dominant structures in diverse domains, including
sociology, biology, neuroscience and computer science. In most of the aforementioned …

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 have become a key approach to understanding systems of interacting objects,
unifying the study of diverse phenomena including biological organisms and human …

We propose an algorithm for finding overlap** community structure in very large networks.
The algorithm is based on the label propagation technique of Raghavan, Albert and …

Cognition depends on integrating sensory percepts with the memory of recent stimuli.
However, the distributed nature of neural coding can lead to interference between sensory …