基于引文重要性的知识流动主路径分析

doi:10.3772/j.issn.1000-0135.2022.05.002

情报学报

2022, Vol. 41

Issue (5): 451-462 DOI: 10.3772/j.issn.1000-0135.2022.05.002

情报理论与方法

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基于引文重要性的知识流动主路径分析

夏红玉, 胡潜, 王忠义

华中师范大学信息管理学院，武汉 430079

Tracing the Knowledge Flow Main Path Based on Important Citations

Xia Hongyu, Hu Qian, Wang Zhongyi

School of Information Management, Central China Normal University, Wuhan 430079

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摘要传统基于引文网络的主路径分析方法没有考虑引文对施引文献的相对价值，认为一篇学术文献的所有引文对该文献具有同等程度的知识贡献。本文从引用行为的统计学层面和语义信息层面综合区分引文重要性，探讨引文对施引文献的重要性对构造主路径的影响。构建了引文重要度指标对主路径分析方法中的链接遍历计数进行调节，并通过实例验证了改进后的主路径分析方法在提取知识流方面的性能。实验结果显示，经过引文重要度加权调节后的关键主路径和全局主路径取得了实验中最高的精确值和F1值。研究结果表明，通过引文重要度加权调节可以增加主路径链接在时间上的连续性，提高节点间的相关性，提升主路径分析方法找到关键节点的能力和链接溯源能力。

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	夏红玉
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关键词 ：引文分析, 知识流动, 主路径分析, 引文重要性

收稿日期: 2021-05-14

基金资助:国家社会科学基金重大项目“新时代我国文献信息资源保障体系重构研究”（19ZDA345）；国家社会科学基金项目“‘互联网+’背景下面向产业链的行业信息服务融合研究”（16BTQ063）。

作者简介: 夏红玉，女，1991年生，博士研究生，研究方向为信息服务、信息行为；胡潜，男，1975年生，博士，教授，博士生导师，研究方向为数字信息资源管理、信息服务，E-mail：huqian@mail.ccnu.edu.cn；王忠义，男，1982年生，博士，副教授，研究方向为知识组织与检；

引用本文:

夏红玉, 胡潜, 王忠义. 基于引文重要性的知识流动主路径分析[J]. 情报学报, 2022, 41(5): 451-462.
Xia Hongyu, Hu Qian, Wang Zhongyi. Tracing the Knowledge Flow Main Path Based on Important Citations. 情报学报, 2022, 41(5): 451-462.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2022.05.002 或 https://qbxb.istic.ac.cn/CN/Y2022/V41/I5/451

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