Efficient approach for mining top-k strong patterns in Social Network Service

Abstract

Social Network Service is a one of the service where people may communicate with one another; and may also exchange messages even of any type of audio or video communication. Social Network Service as name suggests a type of network. Such type of web application plays a dominant role in internet technology. In such type of online community, people may share their common interest. Facebook LinkedIn, Orkut and many more are the Social Network Service and it is good medium of making link with people having unique or common interest and goals. But the problem of privacy protection is a big issue in today's world. As social networking sites allows anonymous users to share information of other stuffs. Due to which cyber crime is also increasing to a rapid extent. In this article, we have proposed an algorithm named MSPSN (Mining Strong Pattern from Social Network). In MSPSN, considering three parameters such as User (U), Time (T) and Image (I) from weblog of Social Network Services. This algorithm is very useful to identify user behaviour in social networking service environment. Most frequently used pattern can be identify using these parameters in Social Networking Services.