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.
作者
刘欣
杜秀春
康文杰
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)
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
关键词
同构合著网络
作者相似性
学科相似性
信任度
homogeneous coauthor networks
author comparability
professional discipline similarity
trust degree
