Missing link prediction in social networks

Abstract

This paper summarizes our effort of applying matrix completion techniques to a popular social network problem: link prediction. The results of our matrix completion algorithm are comparable or even better than the results of state-of-the-art methods. This means that matrix completion is a promising technique for social network problems. In addition, we customize our algorithm and developed a recommender system for Github. The recommender can help users find software tools that match their interest.