Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (7): 30-40.DOI: 10.3778/j.issn.1002-8331.1609-0363

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Visualization analysis on international collaboration computing based on knowledge mapping

YAO Yanling1, 2, YUAN Feng1, 2, WANG Ning1, 2   

  1. 1. School of Information Engineering, Shandong Management University, Jinan 250357, China
    2. Institute of Staff Health Data Management, Shandong Management University, Jinan 250357, China
  • Online:2017-04-01 Published:2017-04-01

基于知识图谱的国际协同计算领域可视化分析

姚艳玲1,2,袁  锋1,2,王  宁1,2   

  1. 1.山东管理学院 信息工程学院,济南 250357
    2.山东管理学院 职工健康数据管理研究所,济南 250357

Abstract: This paper analyzes 2 297 articles in the field of collaboration computing of SCI from Web of Science database, especially analyzes the time distribution, the research power and cooperation, research direction, the mainstream, the development and the evolution process, the research focus and the frontier. The results show that the international study of collaboration computing is in the rising period; the main countries and regions of this field are the USA, China and Europe, the main research institutions are in the USA and China, although China has formed a certain scientific research strength, but it is lack of high yield researchers, in general, the cooperations among the European countries are the most closely; the research directions are mainly composed of computer science; Foster I has become the most influential mainstream researchers of this field, the mainstream journals include LNCS, Commun ACM Lect and so on, the mainstream area includes 9 parts such as grid computing and so on. The development and evolution process are the preliminary study—distributed computing—grid computing—cloud computing, accompanying with collaborative filtering; cloud computing, grid computing and other key words represent the current hotspots of this field, grid computing, cloud computing, distributed computing, Web services, collaborative filtering and other key words represent the front of this field, and this field has been widely infiltrated and merged into biology, pathology, climatology, education, enterprise information system, social network, multimedia, text analysis, industry-university collaboration and other fields, which reflect that collaboration computing field has strong interdisciplinary characteristics.

Key words: knowledge mapping, collaboration computing, visualization, research strength, evolution process, research hotspots

摘要: 通过CiteSpace对Web of Science的SCI数据库中收录的协同计算领域的2 297篇文献进行分析,具体对国际协同计算领域的发文量时间分布、研究力量及合作、研究方向、研究主流、发展演变过程、研究热点及前沿进行了分析。结果表明该领域的研究正处于上升期;国家、地区以美国、中国和欧洲为核心,其研究机构以美国和中国的机构为核心,虽然我国已经具备了一定的科研实力,但缺乏该领域的高产研究者,总体来看欧洲各国之间的合作最为密切;研究方向的构成以计算机科学为主;Foster I为该领域中最具影响力的主流研究者,该领域的主流期刊(文献)包括Lecture Notes in Computer Science、Commun ACM等,主流分支领域包括网格计算等9部分;发展演变过程为前期相关研究—分布式计算—网格计算—云计算,同时穿插协同过滤的发展路径;云计算、网格计算等关键词代表了当前该领域的热点,网格计算、云计算、分布式计算、网络服务、协同过滤等关键词则代表了当前该领域的前沿,且已经广泛渗透、融合到生物学、病理学、气候学、教育学、企业信息系统、社会网络、多媒体、文本分析、产学研等领域中,体现了协同计算这一领域具有较强的跨学科特点。

关键词: 知识图谱, 协同计算, 可视化, 研究力量, 演变过程, 研究热点