图书情报工作 ›› 2022, Vol. 66 ›› Issue (7): 110-119.DOI: 10.13266/j.issn.0252-3116.2022.07.011

• 情报研究 • 上一篇    下一篇

引文持续增长型论文特征和影响因素研究

何婕君, 闵超   

  1. 南京大学信息管理学院 南京 210023
  • 收稿日期:2021-10-21 修回日期:2022-01-17 出版日期:2022-04-05 发布日期:2022-04-15
  • 通讯作者: 闵超,助理研究员,通信作者,E-mail:mc@nju.edu.cn。
  • 作者简介:何婕君,硕士研究生。
  • 基金资助:
    本文系国家自然科学基金项目"引文扩散理论及实证研究"(项目编号:71874077)研究成果之一。

Research on the Features and Influencing Factors of Papers with Continuous Citation Growth

He Jiejun, Min Chao   

  1. School of Information Management, Nanjing University, Nanjing 210023
  • Received:2021-10-21 Revised:2022-01-17 Online:2022-04-05 Published:2022-04-15

摘要: [目的/意义] 通过分析引文持续增长论文的表现特征和深层原因,揭示论文持续影响力的相关规律。[方法/过程] 选择美国物理学会(APS)数据集作为数据源,借助BASS模型识别引文持续增长型论文,并根据1∶1原则选取引文非持续增长型论文作为对照组,比较两组论文在文献特征和引文扩散网络上的差异。[结果/结论] 结果表明,引文持续增长论文具有特殊的文献特征和扩散特性:长标题文献较多,单独作者和两人合作更为常见,对前人研究依赖程度较低;此类论文引文级联网络内部有着更多的模块结构,在较短代际距离内呈现"广播式"扩散模式。

关键词: 持续增长, 文献特征, 引文扩散, 网络指标, 科学影响

Abstract: [Purpose/Significance] This paper reveals the relevant laws of the continuous influence of papers by analyzing the performance characteristics and deep reasons of papers with continuous citation growth.[Method/Process] This study chose the American Physical Society (APS) as the data set, used the BASS model to identify papers with continuous citation growth, and papers with non-continuous citation growth were selected as the control group according to the 1:1 principle. The two groups of papers were compared in terms of literature characteristics and citation diffusion networks to get differences.[Result/Conclusion] The results show that, papers with continuous citation growth have special literature characteristics and diffusion characteristics:long-titled papers are more, solo authors and two-person collaborations are more common, and reliance on previous research is less; and these papers have more modular structures within citation cascade networks, presenting a "broadcast" diffusion pattern over shorter intergenerational distances.

Key words: continuous growth, literature characteristics, citation diffusion, network indicators, scientific influence

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