基于同构合著网络的合作者推荐模型研究  

Research on Co-author Recommender Model Based on Homogeneous Coauthor Networks

作　　者：刘欣[1] 杜秀春[2] 康文杰[2] LIU Xin DU Xiuchun KANG Wenjie(College of Computer Engineering and Applied Mathematics, Changsha University,Changsha Hunan 410022, China School of Computer, National University of Defense Technology, Changsha Hunan 410073 , China)

机构地区：[1]长沙学院计算机工程与应用数学学院,湖南长沙410022 [2]国防科学技术大学计算机学院,湖南长沙410073

出　　处：《长沙大学学报》2017年第2期62-66,共5页Journal of Changsha University

基　　金：湖南省教育厅基金(批准号:14C0095)资助项目

摘　　要：随着社会网络的快速发展,对同构合著网络中合著关系推荐问题的研究现已成为一个研究热点.首先定义了合著关系和同质性;其次给出不同情况下合著关系特征,建立合著关系推荐模型,并提出了不同情况下产生合著关系推荐的算法.实验表明,通过该模型可为作者推荐适合的合著者.With the rapid development of social network,cooperation relationship recommender has become a tend. First,we define coooperation relationship and homogeneity in this paper. Second,the characteristics of coopration relationship in different conditions are given. Third,we build the model of co-author recommender,and propose different methods to recommend the best co-author.Finally experimental data is collected and calculated. Experiments show that the proposed methods are reasonable and effective.

关 键 词：同构合著网络 作者相似性 学科相似性 信任度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]