图书情报工作

图书情报工作 >

2023 , Vol. 67 >Issue 9: 110 - 120

DOI: https://doi.org/10.13266/j.issn.0252-3116.2023.09.012

情报研究

图书情报领域期刊全文本引文特征研究——基于被引参考文献深度分析功能

  • 王露荷 ,
  • 吕沨绚 ,
  • 虞逸飞 ,
  • 张琳 ,
  • 黄颖
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  • 1 武汉大学信息管理学院 武汉 430072;
    2 武汉大学科教管理与评价中心 武汉 430072;
    3 比利时鲁汶大学 ECOOM 研究中心 鲁汶 B-3000
王露荷，本科生；吕沨绚，本科生；虞逸飞，硕士研究生；张琳，教授，博士，博士生导师。

收稿日期: 2022-11-08

  修回日期: 2023-01-09

  网络出版日期: 2023-05-11

基金资助

本文系武汉大学彭斐章图书馆学发展基金项目和国家自然科学基金青年科学基金项目“基于多源异构数据的新兴技术演化路径识别与预测研究”(项目编号：72004169）研究成果之一。

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The Full-Text Citation Characteristics of Journals in Library and Information Science: Based on the Function of In-Depth Analysis of Cited References

  • Wang Luhe ,
  • Lü Fengxuan ,
  • Yu Yifei ,
  • Zhang Lin ,
  • Huang Ying
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  • 1 School of Information Management, Wuhan University, Wuhan 430072;
    2 Center for Science, Technology & Education Assessment(CSTEA), Wuhan University, Wuhan 430072;
    3 Centre for R&D Monitoring(ECOOM) and Department of MSI, KU Leuven, Leuven B-3000

Received date: 2022-11-08

  Revised date: 2023-01-09

  Online published: 2023-05-11

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摘要

[目的/意义] 全文引文分析以施引文献的全文数据为研究对象，从引文在施引文献中的引用位置、引用语境、引用情感和引用强度等方面揭示引文特征，可以从语句层面和语篇层面加深对引用内涵的理解，进而更好地辅助科学评价。[方法/过程] 基于Web of Science核心合集中新近提供的被引参考文献深度分析功能数据，以2021年出版且拥有被引参考文献深度分析模块的1 582篇图书情报领域论文数据作为研究样本，批量获取全文引用的相关图表信息和相对应的文献著录信息。借助文本分析与可视化工具从引用位置、引用语境、引用强度3个方面分析引文特征。在此基础上，引入学科交叉测度指标，分别测度不同文献章节位置和功能模块上的交叉程度，从而揭示目标文献的学科交叉特征。[结果/结论]Web of Science提供的被引参考文献深度分析功能为实现大规模全文本引文分析提供了重要数据基础，但当前版本还存在拥有被引参考文献深度分析模块的论文覆盖率低、引用情感分类模糊、引用动机缺少明确规范等问题。图书情报是一个注重跨学科交叉、多学科融合的领域，通过探究图书情报领域论文的引文特征，进而基于全文引文信息深入挖掘学科交叉特征，对于增强公众对图书情报学科的理解与认知有重要价值。

关键词： 全文本分析; 引文分析; 引用位置; 引用语境; 跨学科研究

本文引用格式

王露荷 , 吕沨绚 , 虞逸飞 , 张琳 , 黄颖 . 图书情报领域期刊全文本引文特征研究——基于被引参考文献深度分析功能[J]. 图书情报工作, 2023 , 67(9) : 110 -120 . DOI: 10.13266/j.issn.0252-3116.2023.09.012

Abstract

[Purpose/Significance] Full-text citation analysis takes the full-text data of the citing references as the research object. Revealing the characteristics of citation mode from the citation position, citation context, citation emotion and citation intensity in the citing references can deepen the understanding of the connotation of citation from the sentence level and text level, and then better assist scientific evaluation. [Method/Process] Based on the function data of in-depth analysis of enriched cited references provided by Web of Science Core Collection, this paper took 1 582 library and information sciences (LIS) papers published in 2021 with in-depth analysis module of cited references as samples, and obtained the relevant chart information and corresponding document description information quoted in the full text in batches. With the help of text analysis technologies and visualization tools, the paper analyzed citation patterns from three perspectives of citation location, context, and strength. Then it measured the interdisciplinarity of different literature sections position and functional modules based on the interdisciplinary measurement index to reveal the interdisciplinary characteristics of the targeted papers. [Result/Conclusion] The function of in-depth analysis of enriched cited references in Web of Science provides an important data basis for realizing large-scale full-text citation analysis. However, the current version still has problems such as low coverage of papers with cited reference in-depth analysis module, vague classification of citation sentiment, and lack of precise specification of citation motives; LIS is a field that attaches importance to interdisciplinary crossover and multidisciplinary integration. By exploring the citation characteristics of papers in the field and then digging into the interdisciplinary characteristics based on full-text citation information, it is of great value to enhance the understanding and cognition of LIS.

Key words： full-text analysis; citation analysis; citation location; citation context; interdisciplinary research

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