Authors :
Akshatha V, Apoorva S, Pavithra M, Anushka Raju, Dr. M V Vijaya Kumar, Neeta Natesh and Vanishree Abhay.
Volume/Issue :
Volume 4 - 2019, Issue 5 - May
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://bit.ly/2MGn094
Abstract :
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.
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.