A Study on Large-scale Social Tagging Behavior of User in Online Social Network

Abstract

Online social networks equally referred as Facebook, Twitter, Google+, LinkedIn and Foursquare have become majorly democratic all over the world. A social network represents a significant role in people’s daily life by building social relations among people. Nowadays people can access these social networks using both desktop PCs and new emerging mobile devices. With billions of users worldwide, Online Social Networks are a new venue of innovation with many challenging research problems. An understanding of user interactions in OSNs can provide important insights into questions of human social behavior and the pattern of social platforms and applications. In this paper, a study on user behavior in OSNs from several perspectives like connectivity and interaction among users, traffic activity, social tagging, mobile social behavior is considered. Also, this paper study malicious behaviors of OSN users and discuss several solutions to detect misbehaving users. This paper explores existing research highlights and provides various needs of significant research in these topics.