Friend Recommendation Algorithm Based on Mixed Graph in Online Social Networks
Yu Yan1,2, Qiu Guanghua1,3, Chen Aiping4
1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; 2. Computer Science Department, Southeast University Chenxian College, Nanjing 210088, China; 3. Information Science Department, Pennsylvania State University, Malvern 19355, USA; 4. School of Information Technology, Jinling Institute of Technology, Nanjing 210069, China
Abstract：Aiming at the friend recommendation in online social networks, this paper tries to fuse multiple social networks into one mixed graph on which the random walk with restart is implemented to provide personalized friend recomendation for users. The different roles of these networks are adjusted by parameters. Experiment demonstrates that this algorithm can improve the accuracy of friend recommendation in online social networks.
俞琰, 邱广华, 陈爱萍. 基于混合图的在线社交网络朋友推荐算法[J]. 现代图书情报技术, 2011, (11): 54-59.
Yu Yan, Qiu Guanghua, Chen Aiping. Friend Recommendation Algorithm Based on Mixed Graph in Online Social Networks. New Technology of Library and Information Service, 2011, (11): 54-59.
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