Topic Sensitivity Based Community Formation in Online Social Network

In this paper a proposed work is based on topic sensitivity which is used to form a community by which effective influence node can be elected in online social network for information diffusion. It is effective route for performing campaign in online social network environment. In which it has to be started from the influence node selection, after that effective information diffusion pattern is identified. In general most of the cases, influence node is selected randomly. So, for the selected topic the randomly selected node may not able to predict the expected topic diffusion pattern effectively. To resolve this issue, topic sensitivity based community formation has been introduced for selecting the better influence node. By doing this, influence maximization problem is resolved and it could improve the information diffusion in online social network.