Framework for trustworthy user grouping in social networks using semantic provenance

The World Wide Web is revolutionizing the way people create, share and use the information. Social network is an extremely suitable space to instantly share the information between individuals and their neighbours. This unbounded growth of users and contents in social network lower the barrier for users to create and share resources through social applications like Facebook, Twitter etc but heightened the issues of privacy, provenance and copyright etc. Therefore, to know the user accountability and to ensure the quality of the data the origin of the web resources (Provenance) need to be identified. Hence, this paper proposes framework for identifying the trustworthy user or groups in social network using the provenance data. This paper uses semantic web environment. The framework evaluates with confidence score, trust score and adaptivity metrics.