Publication

Abstract : In recent years, the real world complex network analysis has become an interesting research area. Network consists of entities and links. Similar entities in a network falls into same group to form a community. An entity can belong to multiple groups. Such types of communities are called overlapping community. All the existing algorithms are uncovering the overlapping structure of a network. Here we propose a method to find the relationship among communities based on overlapping nature of network. We are not only uncovering the relationship among communities but also finding the overlapping strength between communities. The overlapping strength indicates how much one community is related to another. The relationship among communities give a good exploration of network which has immense application in recommendation system, link prediction etc.