Aggregate Performance is study of behaviour of a person who’s registered in a social network. More number of individuals are connection each other in this networks. The media is facing a major problem for finding the individual behaviour prediction. Because of so many people have similar behaviours present in the network; the study of their behaviour is so called social learning. Problems rising during social learning because of more scalability. We introduced a new framework which simplify the study of social learning and handles large amount of data in the social media. In this we used efficient classification methodologies and new features of dividing the social media such as centric based clustering.