A Survey of Tools for Community Detection and Mining in Social Networks

Online Social Networks (OSNs) namely Facebook, Twitter and LinkedIn are the most popularly visited sites on the internet. These sites contain large voluminous data about the people and relationships among them. Community structure is an important property of social networks. It is a topic of considerable interest in many areas due to its wide range of applications in multiple disciplines including biology, computer science, social sciences and so on. Detection of communities reveals how the structure of ties affects the peoples and their relationships. To facilitate community discovery a wide range of tools have been developed over years. This paper surveys several tools available for detection and mining of communities and presents a comparative study. In addition, we discussed various visualization layouts of social networks in order to perceive network data and to communicate the result of analysis.