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面向科研合作预测领域的作者相关度算法分析

Analysis of the Author Relevance Algorithm in the Field of Research Collaboration Prediction
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摘要 文章从网络拓扑相似度算法入手,梳理和分析了面向合作预测领域的作者相关度算法,分析和比较了各种常用算法的优劣以及目前的应用情况,对作者相关度算法进行系统梳理,分析重点方法的基本原理、优缺点并展望其未来发展方向。 By using network topological similarity algorithm, the paper combs and analyzes the author relevance algorithm in the field of cooperative prediction, analyzes and compares the advantages and disadvantages of commonly used algorithms, and introduces the current application. Finally, The paper systematically sorts out the author relevance algorithm, analyzes the basic principles, advantages and disadvantages of the key methods and looks forward to the future development direction.
作者 单嵩岩 吴振新 Shan Song-yan;Wu Zhen-xin
出处 《图书馆理论与实践》 CSSCI 2019年第11期58-62,共5页 Library Theory and Practice
关键词 作者相关度 网络拓扑相似度 科研合作预测 Author Relevance Network Topological Similarity Research Collaboration Prediction
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