Friend-space: Cluster-based users similar post friend recommendation technique in social networks

Online social networking is a way of access and share the information with user friends. All the social networking sites like Facebook, Twitter are provided the services. Parameters like life-style, interest, education, similarity or common things, mutual friends are considered for friend recommendation in social networks. In this paper we propose the best clusters based friend recommendation technique name as Friend-Space. For development of Friend-Space application four algorithms are implement and use in system. K-Means, Apriori, Ranking and Recommendation algorithms are developed for Friend-Space Application. Friend-space Cluster based application gives better performance in case of execution time for K-Means algorithm. In this paper we achieve the parameters like efficiency, effectiveness and execution time for number of executions. Recommendation algorithm implements for display the final output.