河北大学学报(哲学社会科学版) ›› 2019, Vol. 44 ›› Issue (1): 97-107.DOI: 10.3969/j.issn.1005-6378.2019.01.014

• 京津冀协同发展研究 • 上一篇    下一篇

京津冀协同发展研究领域文献特征与热点——基于文献计量和共词分析

李海峰1,徐建民2,李军凯3   

  1. 1.河北大学 计算机教学部, 河北 保定 071002;
    2.河北大学 网络空间安全与计算机学院, 河北 保定 071002;
    3.河北大学 校长办公室, 河北 保定 071002
  • 收稿日期:2018-10-15 出版日期:2019-01-25 发布日期:2019-01-25
  • 作者简介:李海峰(1980—),男,河北唐县人,河北大学计算机教学部副教授,主要研究方向:数据挖掘、信息分析。
  • 基金资助:
    河北省社科基金项目“京津冀协同发展网络热点话题发现及其应用研究”(HB15SH064);河北省创新能力提升计划项目软科学研究及科普专项“京津冀信息服务协同创新共同体研究与探索”(17455309D)

Literature Characteristics and Hotspots of Coordinated Development of Beijing-Tianjin-Hebei ——Based on Bibliometric and Co-word Analysis

LI Hai-feng1, XU Jian-min2,LI Jun-kai3   

  1. 1.Department of Computer Teaching, Hebei University, Baoding, Hebei 071002; 2.College of Cyber Security and Computer, Hebei University, Baoding, Hebei 071002; 3.President Office, Hebei University, Baoding, Hebei 071002, China
  • Received:2018-10-15 Online:2019-01-25 Published:2019-01-25

摘要: 以CNKI数据库中1992—2018年京津冀协同发展领域的核心期刊论文为数据源,采用文献计量学和共词分析等方法,主要围绕论文的发文时间分布、核心期刊分布、核心作者分布、高频作者合作关系和高频关键词分布等方面进行分析,研究了国内京津冀协同发展的研究现状和发展趋势,总结出京津冀协同发展的八个热门研究领域,希望对京津冀协同发展的进一步研究有所帮助。

关键词: 京津冀协同发展, 文献特征分布, 研究热点, 文献计量, 共词分析

Abstract: This paper is based on statistical analysis of core journal articles of CNKI from 1992—2018, using the methods of bibliometric and co-word analysis to analyze the related data. In this study, five aspects were analyzed such as the period distribution, the core journals distribution, the core authors distribution, the high frequency authors cooperation and the high frequency keywords distribution. The status, progress and development trend of the coordinated development of Beijing-Tianjin-Hebei were studied, and then eight research hotspots were summarized. It is hoped the research results can provide a useful reference for further research of coordinated development of Beijing-Tianjin-Hebei.

Key words: coordinated development of Beijing-Tianjin-Hebei, literature characteristic distribution, research hotspots, bibliometric analysis, co-word analysis

中图分类号: