摘要
调研科技文献作者相关性研究发展进展,对作者相关度算法进行系统化的分析和对比。从网络拓扑相似度算法入手,梳理和分析面向合作预测领域的作者相关度算法,分析和比较各种常用算法的优劣。对科技文献作者相关度算法进行系统梳理,分析重点方法的基本原理、优缺点并展望未来发展方向。
This paper attempts to investigate the development of author relevance research, as well as systematically analyze and compare the author relevance algorithm. From the perspective of network topological similarity algorithm, this paper combs and analyzes the author relevance algorithm in the field of cooperative prediction, analyzes and compares the advantages and disadvantages of various commonly used algorithms. The study summarizes the author relevance algorithm, with analyzing the basic principles, advantages and disadvantages of the key methods and look forwards to the future development direction.
作者
吴振新
单嵩岩
WU ZhenXin;SHAN SongYan(National Science Library, Chinese Academy of Sciences, Beijing 100190, China;Department of Library Information and Archive Sciences, University of Chinese Academy of Sciences, Beijing 100049, China)
出处
《数字图书馆论坛》
CSSCI
2019年第3期11-17,共7页
Digital Library Forum
关键词
作者相关度
网络拓扑相似度
科研合作预测
Author Relevance
Topological Similarity
Research Collaboration Prediction