图书情报工作 ›› 2021, Vol. 65 ›› Issue (20): 59-67.DOI: 10.13266/j.issn.0252-3116.2021.20.007

• 情报研究 • 上一篇    下一篇

主题热度加速度指数——学科研究热点识别新方法

荣国阳, 李长玲, 范晴晴, 郭凤娇   

  1. 山东理工大学信息管理研究院, 淄博 255049
  • 收稿日期:2021-03-23 修回日期:2021-06-04 出版日期:2021-10-20 发布日期:2021-10-22
  • 通讯作者: 李长玲(ORCID:0000-0001-6266-4820),教授,硕士,硕士生导师,通讯作者,E-mail:lichl69@163.com
  • 作者简介:荣国阳(ORCID:0000-0002-5822-2306),硕士研究生;范晴晴(ORCID:0000-0003-3593-0470),硕士研究生;郭凤娇(ORCID:0000-0002-2902-8299),馆员,博士。
  • 基金资助:
    本文系国家社会科学基金重点项目"跨学科潜在知识生长点识别与创新趋势预测研究"(项目编号:19ATQ006)研究成果之一。

Topic Acceleration Index: A New Method for Identifying Discipline Research Hotspots

Rong Guoyang, Li Changling, Fan Qingqing, Guo Fengjiao   

  1. Institute of Information Management, Shandong University of Technology, Zibo 255049
  • Received:2021-03-23 Revised:2021-06-04 Online:2021-10-20 Published:2021-10-22

摘要: [目的/意义] 横向与纵向综合识别不同时间阶段的研究热点,有助于把握学科发展历程和方向,为热点主题识别方法拓展研究思路。[方法/过程] 构建累积主题热度模型TP,反映主题在学科中的横向相对研究热度;构建主题热度加速度指数模型TAI,量化研究主题发展的纵向速度变化情况;构建学科研究热点识别模型TP*TAI,从横向和纵向两方面综合反映主题研究热度及其变化情况。[结果/结论] 采用图情领域2001-2020年的研究文献为样本进行实证分析,结果表明:该模型可以有效识别各时间阶段的研究热点,并将其区分为前沿、稳定和衰退3种类型,实现学科研究的动态描述。

关键词: 主题热度, 研究热点, 识别方法, TP*TAI模型

Abstract: [Purpose/significance] The horizontal and longitudinal comprehensive identification of research hotspots at different time stages is helpful to grasp the development course and direction of the discipline, and expands research ideas for hot topic identification methods. [Method/process] The cumulative topic popularity model TP was constructed to reflect the horizontal research heat of the topic in the discipline. The topic acceleration index model TAI was built to quantify the longitudinal speed change of the development of the research topic. TP*TAI model was constructed to identify the hot spots of subject research, which reflected the research heat and its change comprehensively from both horizontal and longitudinal aspects. [Result/conclusion] The empirical analysis on the literatures of LIS from 2001 to 2020 shows that the model can effectively identify the research hotspots in different time stages, and distinguish three types, namely frontier, stable and declining, to realize the dynamic description of the subject research.

Key words: topic popularity, research hotspots, identification method, TP*TAI model

中图分类号: