Link Prediction in Microblog Network Using Supervised Learning with Multiple Features
Link Prediction (LP) is a fundamental network analysis task. It aims to analyze the existing links and predict the missing or potential relations between users in a social network. It can help users in finding new friends, enhance their loyalties to the web sites and build a healthy social environment. In previous researches, much attention was focused on structure information or node attributes, in order to analyze the global or local properties. Considering the nature of microblog social network, they proposed a link prediction system combining multiple features from different perspectives and learn a classifier from these feature subsets to predict the potential links.