Community detection in networks: Algorithms and challenges

Abstract

Community detection in networks is a research area that is gaining a lot of attention mostly because of its great applications in areas such a coding, link prediction, routing, containment of virus and warm online, and recently for criminal detection. In this era of Big Data, it is envisaged that community detection will be handy in solving many societal problems. Many algorithms have been developed to solve the complex problem of clustering groups of nodes in a network. In this paper, a few of these algorithms and their challenges are discussed. Directions for future research in this area are also pointed out.