›› 2020, Vol. 26 ›› Issue (第1): 18-27.DOI: 10.13196/j.cims.2020.01.002

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Analysis of visual knowledge mapping of digital twin research based on bibliometrics

  

  • Online:2020-01-31 Published:2020-01-31
  • Supported by:
    Project supported by the Fundamental Research Funds for the Central Universities,China(22120180301),and the National Natural Science Foundation,China(No.71690234,71690230,61873191).

基于文献计量的数字孪生研究可视化知识图谱分析

管文玉,凌卫青+   

  1. 同济大学CIMS研究中心
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目(22120180301);国家自然科学基金资助项目(71690234,71690230,61873191)。

Abstract: Bibliometrics can reveal the general development of a research topic from macro,meso and micro levels,and then can comprehensively examine the structure and research hotspots of the research topic from all angles.In view of the fact that digital twin is an important application object of industrial Internet and an excellent carrier of intelligent service,through the statistics of related literatures on digital twin in the core collection database of Web of Science,the visual knowledge mapping based on Citespace was realized with bibliometric research method by taking the volume of publications and the distribution of literatures,the cooperation of authors and research institutions,the citation of literatures and the keywords co-occurrence as observation points.Thus,the current situation,trend and hotspot of digital twin research was analyzed.The results showed that digital twin research was warming up rapidly;the output of research results mainly depended on the core author group;the connotation and extension of digital twin had cross-domain and cross-disciplinary common components;the international cooperation and school-enterprise cooperation of digital twin research in China needed to be strengthened urgently.Moreover,the knowledge as the core element would play an important role in the research of digital twin from the evolution of research trends.

Key words: digital twin, bibliometrics, knowledge mapping, Citespace, co-citation, high cited literature

摘要: 文献计量方法可以从宏观、中观、微观各个层面来揭示一个研究主题发展的概貌,进而能够从各个角度全面的审视该研究主题的结构和研究热点。鉴于数字孪生是工业互联网的重要应用对象和智能服务的绝佳载体,通过对Web of Science核心合集数据库中数字孪生相关文献的统计,采用文献计量研究方法,以发文量与文献分布、作者及研究机构合作、文献引用、关键词共现等为观察点,基于Citespace实现了可视化知识图谱,对当前数字孪生研究的现状、趋势和热点进行了检视和分析。结果表明,数字孪生研究正在快速升温;研究成果的产出主要依靠核心作者群;数字孪生的内涵和外延存在跨领域、跨学科的共性成分;我国在数字孪生研究的国际合作和校企合作方面亟待加强;此外,从研究趋势的演进来看,知识作为核心要素将在数字孪生研究中发挥重要作用。

关键词: 数字孪生, 文献计量, 知识图谱, Citespace, 共现, 高被引文献

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