Multi-class Link Prediction in Social Networks

Abstract

Link prediction in social networks has become a vital research topic. It has become a challenging topic due to various factors such as heterogeneity of links. In this paper, we present new knowledge extraction methods which can be use to predict future links as well as link type using supervised machine learning methods.