Web usage mining the data mining techniques to extract exciting usage patterns from SNS data, in order to understand and serve the needs of users in an efficient manner. Usage data captures the origin and the identity of the user along with the browsing behavior at the social web site so that they can serve well. It is further classified depending on the type of data to be mine. This paper proposes an algorithm which takes advantages of both Apriori growth algorithm and Fp split algorithm and shows the experimental results which shows the efficiency of the proposed algorithm.