图书情报工作

图书情报工作 >

2021 , Vol. 65 >Issue 8: 51 - 64

DOI: https://doi.org/10.13266/j.issn.0252-3116.2021.08.006

情报研究

新兴研究主题在演化路径上的关键时间点研究

  • 许海云 ,
  • 张慧玲 ,
  • 武华维 ,
  • 刘自强
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  • 1 山东理工大学管理学院 淄博 255000;
    2 太原市图书馆 太原 030024;
    3 西北师范大学档案馆 兰州 730070;
    4 南京师范大学新闻与传播学院 南京 210023
许海云(ORCID:0000-0002-7453-3331),教授,博士,E-mail:xuhaiyunneomo@gmail.com;张慧玲(ORCID:0000-0001-5155-6357),馆员,硕士;武华维(ORCID:0000-0001-6969-407X),馆员,博士;刘自强(ORCID:0000-0003-1814-8655),讲师,博士。

收稿日期: 2020-09-03

  修回日期: 2020-11-30

  网络出版日期: 2021-06-02

基金资助

本文系国家自然科学基金项目"基于科学-技术主题关联分析的创新演化路径识别方法研究"（项目编号：71704170）和中国科学院十三五信息化项目"面向干细胞领域知识发现的科研信息化应用"（项目编号XXH13506）研究成果之一。

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Key Time-points of Emerging Research Topic on their Evolution Path

  • Xu Hainyun ,
  • Zhang Huiling ,
  • Wu Huawei ,
  • Liu Ziqiang
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  • 1 Business School, Shandong University of Technology, Zibo 255000;
    2 Taiyuan Library, Taiyuan 030024;
    3 Archives of Northwest Normal University, Lanzhou 730070;
    4 School of Journalism and Communication, Nanjing Normal University, Nanjing 210023

Received date: 2020-09-03

  Revised date: 2020-11-30

  Online published: 2021-06-02

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摘要

[目的/意义] 探讨不同关键时间点对新兴研究主题影响力的不同表征。[方法/过程] 首先，综述当前拐点时间的应用场景及获取方法，并根据知识扩散中网络节点增长机制与特征构建新兴研究主题在创新演化路径上的拐点识别方法。其次，对比分析首次出现时间、平均时间和拐点时间的差异，探讨新兴研究主题产生影响力的最早时间点。最后，以干细胞研究主题为实证领域，分析不同关键时间点对新兴研究主题影响力的不同表征能力。[结果/结论] 拐点时间可以比平均值时间提前识别有影响力的主题。首次出现时间、平均时间和拐点时间在主题发展路径中意义区别显著，新兴研究主题在创新路径中分布时间的确定需要综合3种不同类型的关键时间点。

关键词： 演化路径; 创新路径; 拐点时间; 新兴研究主题; 曲线拟合

本文引用格式

许海云 , 张慧玲 , 武华维 , 刘自强 . 新兴研究主题在演化路径上的关键时间点研究[J]. 图书情报工作, 2021 , 65(8) : 51 -64 . DOI: 10.13266/j.issn.0252-3116.2021.08.006

Abstract

[Purpose/significance] To explore the different representations of the impact of different key time points on emerging research topics.[Method/process] Firstly, we summarized the application scenarios and acquisition methods of the current turning point time, and constructed the turning point identification method of emerging research topics on the innovation evolution path according to the growth mechanism and characteristics of network nodes in the knowledge diffusion. After that, the differences between "first appearance time" "average time" and "inflection point time" are compared and analysed, and explored the earliest point in time when emerging research topics have an impact. Finally, taking stem cell research topics as an empirical field, we analysed the different representational capabilities of different key time points on the influence of emerging research topics.[Result/conclusion] The turning point time can identify influential topics earlier than the "average time". "First appearance time" "average time" and "inflection point time" have significant differences in the topic evolution path. The determination of the distribution time of emerging research topics in the innovation path requires the synthesis of three different types of key time points.

Key words： evolutionary path; innovation path; inflection point; emerging research topic; curve fitting

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