计算机工程2017，Vol.43Issue(1)：219-225,7.DOI:10.3969/j.issn.1000-3428.2017.01.038
异质信息网络中演员合作关系的链路预测
Link Prediction of Actor Cooperation Relationship in Heterogeneous Information Network
摘要
Abstract
In heterogeneous information network,heterogeneous characteristics and complexities of the nodes and links increase the difficulty of link prediction.Aiming at this problem,this paper proposes a link prediction method by using synthetic topology characteristics.For different meta-paths,it uses the topology characteristics of heterogeneous and homogeneous information network to obtain heterogeneous and homogeneous data.It uses Logistic Regression (LR)model as a link prediction model,and integrates topology characteristics to further improve the prediction accuracy.Experimental results in real heterogeneous movielens film data sets show that the proposed method can improve the link prediction performance of actor cooperation relationship in heterogeneous information network.关键词
异质信息网络/同质信息网络/分类算法/链路预测/元路径Key words
heterogeneous information network/homogeneous information network/classification algorithm/link prediction/meta-path分类
信息技术与安全科学引用本文复制引用
郭振宏,李海峰..异质信息网络中演员合作关系的链路预测[J].计算机工程,2017,43(1):219-225,7.基金项目
国家自然科学基金(61100112,61309030) （61100112,61309030）
国家社会科学基金重点项目(13AXW010) （13AXW010）
北京市青年英才计划项目(YETP0987) （YETP0987）
中央财经大学“121”青年人才发展基金(QBJ1427). （QBJ1427）
