Content Based Community Detection in Social Networks

Abstract

Online social networks have been wildly spread in recent years. They enable users to identify other users with common interests, exchange their opinions, and expertise. Such networks provide connectivity but are often structured in clusters. These clusters in social networks are termed as communities. Discovering user communities from social networks have become one of the major challenges which help its members to interact with relevant people who have similar interests. Current cluster analysis in social networks is mainly based on structural properties. This research focuses on content-based community detection in social networks with the use of topic modelling and other machine learning techniques.