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数字人文研究领域的知识网络演化——基于题录信息和引文上下文的关键词共词分析
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  • 英文篇名:Knowledge Network Evolvement in Digital Humanities Domain: Based on Keywords Co-Word Analysis of Bibliography and Citation Context
  • 作者:许鑫 ; 陈路遥 ; 杨佳颖
  • 英文作者:Xu Xin;Chen Luyao;Yang Jiaying;Department of Information Management, Faculty of Economics and Management,East China Normal University;
  • 关键词:知识网络 ; 数字人文 ; 引文上下文 ; 融合网络
  • 英文关键词:knowledge network;;digital humanities;;citation context;;blending network
  • 中文刊名:QBXB
  • 英文刊名:Journal of the China Society for Scientific and Technical Information
  • 机构:华东师范大学经济与管理学部信息管理系;
  • 出版日期:2019-03-24
  • 出版单位:情报学报
  • 年:2019
  • 期:v.38
  • 基金:上海市哲学社会科学规划项目“上海图书馆特藏资源的数字人文应用研究”(2017BTQ001)
  • 语种:中文;
  • 页:QBXB201903010
  • 页数:13
  • CN:03
  • ISSN:11-2257/G3
  • 分类号:100-112
摘要
数字人文作为新兴领域,厘清来龙去脉将有助于夯实研究基础。在关注到引文文本的价值并未被充分利用后,本文融合了文献集与引文文本集的关键词共现网络,通过"吸收—形成—被吸收—扩散"的演化过程,观察数字人文领域的研究热点的发展路径,挖掘数字领域的潜在价值点。研究发现,数字人文领域的研究脉络在不断细分和深化,其中史学相关研究集中度较高,有专深化的倾向;社交媒体相关研究则是未来繁荣的趋势所在。
        The answer to,"Where does digital humanities research come from?"can solve the question,"How far will dig‐ital humanities research step forward?"For citation text that has been undervalued, this paper combines document records with the citation context. Through the evolution cycle of"Absorption-Formation-Reabsorption-Diffusion", we can track the development of digital humanities and discover potential values. It is found that the research on digital humanities is continuously subdivided. Typically, history-related research is more concentrated and conceptually deeper while social-me‐dia-related research is the trend of future.
引文
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