With the recognition of social media, people are used to sharing their daily activities and interacting with friends on social media platforms. Based on this instance, we build a dynamic web design system to facilitate the social interaction between members of a department in college. In this paper, we find that users trend state is closely related to that of his/her friends in social media. Using this feature, we define a large dataset from a set of textual, visual, and social attributes obtained from various aspects which are trending at the present time. We then analyse the system based on this and propose a factor graph model to exhibit the social interaction of trend and the most occurring trending subject.

Keywords : Social Media, Social Interaction, Dynamic Web Design, Large Dataset, Factor Graph Model, Trend, Trending Subject.