Co-author Relationship Prediction in Heterogeneous Bibliographic Networks

—The problem of predicting links or interactions between objects in a network, is an important task in network analysis. Along this line, link prediction between co-authors in a co-author network is a frequently studied problem. In most of these studies, authors are considered in a homogeneous network, i.e., only one type of objects (author type) and one type of links (co-authorship) exist in the network. However, in a real bibliographic network, there are multiple types of objects (e.g., venues, topics, papers) and multiple types of links among these objects. In this paper, we study the problem of co-author relationship prediction in the heterogeneous bibliographic network, and a new methodology called PathPredict, i.e., meta path-based relationship prediction model, is proposed to solve this problem. First, meta path-based topological features are systematically extracted from the network. Then, a supervised model is used to learn the best weights associated with different topologi...

• Type: Journal
• Year: 2011
• Where: ASUNAM
• Authors: Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han
• Keywords: ASUNAM 2011, Author Network, Bibliographic Network, Homogeneous Network, Social Networks