View article

Data originating from many different real-world domains can be represented meaningfully as interaction networks. Examples abound, ranging from gene expression networks to social networks, and from the World Wide Web to protein-protein interaction networks. The study of these complex networks can result in the discovery of meaningful patterns and can potentially afford insight into the structure, properties and behavior of these networks. Hence, there is a need to design suitable algorithms to extract or infer meaningful information from these networks. However, the challenges involved are daunting.