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科学家相关性测度典型算法比较与评析

吴振新 单嵩岩

数字图书馆论坛Issue(3):11-17,7.
数字图书馆论坛Issue(3):11-17,7.DOI:10.3772/j.issn.1673-2286.2019.03.002

科学家相关性测度典型算法比较与评析

Comparison and Analysis of Typical Algorithms for Correlation Measurement of Scientists

吴振新 1单嵩岩2

作者信息

  • 1. 中国科学院文献情报中心,北京 100190
  • 2. 中国科学院大学图书情报与档案管理系,北京 100049
  • 折叠

摘要

Abstract

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.

关键词

作者相关度/网络拓扑相似度/科研合作预测

Key words

Author Relevance/Topological Similarity/Research Collaboration Prediction

分类

社会科学

引用本文复制引用

吴振新,单嵩岩..科学家相关性测度典型算法比较与评析[J].数字图书馆论坛,2019,(3):11-17,7.

数字图书馆论坛

OACSSCICSTPCD

1673-2286

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