Clustering Users in Micro Blogging Social Networks Using Probabilistic Topic Modeling - A Framework

Abstract

Social network is a term used to represent a large group of activities using the web and mobile technologies. The micro blogging social networks provide an appropriate ground for the users to explain themselves and express their ideas as well as interacting with the others. The growth of the social networks' users creates the necessity of extracting and analyzing the contents of the users' notes and multimedia products. In this paper, a new methodology is defined to characterize users based on the contents of their posts in micro blogging social networks and also to create clusters of users by means of highlighting the distribution of words representing a topic in the contents of micro blogging social networks.