融合引用语义和语境特征的作者引文耦合分析法

doi:10.3772/j.issn.1000-0135.2022.08.003

情报学报

2022, Vol. 41

Issue (8): 796-811 DOI: 10.3772/j.issn.1000-0135.2022.08.003

情报理论与方法

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融合引用语义和语境特征的作者引文耦合分析法

张汝昊^1,2, 袁军鹏^1,2

1.中国科学院大学经济与管理学院图书情报与档案管理系,北京 100049
2.中国科学院文献情报中心,北京 100190

Semantic- and Contextual-based Author Bibliographic Coupling Analysis

Zhang Ruhao^1,2, Yuan Junpeng^1,2

1.Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100049
2.National Science Library, Chinese Academy of Sciences, Beijing 100190

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摘要作者引文耦合分析是发现领域活跃研究社群与知识结构的重要工具。当前该方法主要利用引用次数朴素地表征作者间的联系强度，忽视了耦合双方在更深层次上的相似性。为增强现有方法的可靠性与分析深度，本研究试图利用丰富的全文本资源，挖掘引用内容所蕴含的“引了什么”“在何处引”“引用的重要性如何”等关键信息，从施引动机的相似性这一本质层面优化引文耦合强度，提出一种融合引用语义和语境特征的作者引文耦合分析法。该方法通过深入学术论文全文，抽取耦合双方在施引论文中引用内容的语义和语境特征，以此计算增强型引文耦合强度，为每一次引文耦合赋予不同的相似程度值；在此基础上，通过“论文-主题-作者”聚合映射考虑作者的多元兴趣倾向，最终获得作者间的研究主题相似性度量。为证明提出方法的有效性，本研究利用中文“图书情报与数字图书馆”领域的13562篇论文的全文本数据开展了实证研究。实证结果表明，提出方法相较于现有作者引文耦合分析法具有更优的作者兴趣社群发现效果，呈现出更佳、更细致的聚类群落分布，划分出的作者兴趣社群具有更高的群内研究主题同质性和互引概率；此外，提出方法面向大体量作者时的表现更为稳定，具有拓展和应用前景。

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关键词 ：作者引文耦合分析, 全文本引文分析, 引文内容分析, 引用语义, 引用语境, 领域知识结构

收稿日期: 2021-09-05

基金资助:国家社会科学基金项目“中外同学科期刊跨遴选体系联合排序方法研究”（19BTQ090）。

作者简介: 张汝昊，男，1995年生，博士研究生，主要研究方向为全文本引文分析、科学计量与科技评价；袁军鹏，男，1973年生，博士，研究员，博士生导师，主要研究方向为科技人才评价，E-mail：yuanjp@mail.las.ac.c；

引用本文:

张汝昊, 袁军鹏. 融合引用语义和语境特征的作者引文耦合分析法[J]. 情报学报, 2022, 41(8): 796-811.
Zhang Ruhao, Yuan Junpeng. Semantic- and Contextual-based Author Bibliographic Coupling Analysis. 情报学报, 2022, 41(8): 796-811.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2022.08.003 或 https://qbxb.istic.ac.cn/CN/Y2022/V41/I8/796

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