arXiv:2606.29872cs.DLcs.CL2026-06被引 8

分析中国图书馆学研究的创新演变,揭示热点与合作模式的关系。

Unveiling Novelty Evolution in the field of Library and Information Science in China

  • 用BERTopic识别主题,基于引用组合理论计算论文新颖性。
  • 档案类研究新颖性低,期刊评价与专利技术类新颖性高,整体呈上升趋势。
  • 高创新研究更依赖跨机构合作,低创新多为单人完成。

本研究分析了2000至2022年间收录于中文社会科学引文索引(CSSCI)的中国图书馆与信息科学(LIS)期刊论文的新颖性分布,探讨其在期刊、研究主题和时间维度上的差异。通过BERTopic对论文摘要进行主题建模,并依据焦点论文引用文献对的组合创新理论计算新颖性得分。结果表明,档案类研究新颖性普遍较低,而期刊评价与专利技术相关主题具有更高新颖性,整体趋势呈逐步上升。不同主题及新颖性水平的论文呈现出显著不同的作者合作模式:低新颖性主题多见于独立作者,高新颖性主题则更多涉及跨机构合作。研究揭示了中国LIS领域在主题层面的新颖性特征与时间演化规律,为理解研究主题与合作模式如何影响学术创新提供了新视角。

原文摘要 · Abstract (English)

This study analyzes the novelty distribution of scholarly papers in the field of Library and Information Science (LIS) in China, with a focus on differences across journals, research topics, and time periods. Articles published in Chinese LIS journals indexed by the Chinese Social Sciences Citation Index (CSSCI) from 2000 to 2022 were collected as the research sample. BERTopic was applied to paper abstracts to identify research topics, and novelty scores were calculated based on the combinatorial innovation theory of reference pairs cited by focal papers. The study then examined the novelty of papers under different topics and further analyzed author collaboration patterns to explain how collaboration may be associated with paper novelty. The results show that archival research topics generally have lower novelty, whereas topics related to journal evaluation and patent technology display higher novelty in Chinese LIS research. Overall, the novelty of papers in this field has gradually increased over time. Papers with different topics and novelty levels also show distinct collaboration patterns: low-novelty topics are more often associated with solo authorship, while high-novelty topics tend to involve a higher proportion of inter-institutional collaboration. This study reveals the topic-level characteristics and temporal trends of novelty in Chinese LIS research and provides a new perspective for understanding how research topics and collaboration patterns influence scholarly innovation.

知识图谱学术创新文献计量

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。