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基于文献计量分析的全球系统动力学研究力量分布及合作网络研究 被引量:1

Participant Distribution and Collaboration Network of System Dynamics Research in a Global Context Based on Bibliometrics
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摘要 本研究基于社会网络理论,以美国科学引文索引数据库扩展版(SCI—EXPANDED)和社会科学引文索引数据库(SSCI)收录,发表于1981~2013年间的1160篇论文题录数据为研究对象,对系统动力学领域的研究力量分布及全球合作网络进行了分析。研究发现:过去30余年来越来越多国家/研究机构涉足于系统动力学研究。大多数论文发表量较多的国家/机构在全球合著网络中都处于较为核心的地位。其中,美国、英国位列第一梯队。此外,部分国家/机构的表现,无论是在论文产出质量上还是在合作网络中的地位上,均与其论文产出规模的表现存在差异性. Based on the theory of SNA, the participant distribution and the global collaboration network in the field of system dynamics were analyzed,using 1160 articles published in 1981 -2013 and collected by the SCI-EXPANDED database and SSCI database. The empirical study showed that more and more countries/organizations had involved in system dynamics re- search during the past 30 years. The majority of countries/organizations with many publications were playing key roles in the global collaboration network. Among which, USA and UK were in the first tier. Meanwhile, a few countries/organizations' performances, either on article quality or on the position in collaboration network, were inconsistent with their performances on article quantity.
作者 刘娅 佟贺丰
出处 《世界科技研究与发展》 CSCD 2015年第1期88-96,共9页 World Sci-Tech R&D
关键词 系统动力学 学术论文 社会网络分析 共现分析 参与者分布 合作网络 system dynamics academic article social network analysis co-occurrence analysis participant distribution col-laboration network
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  • 1LEYDESDORFF L. Indicators of Innovation in a Knowledge-based E- conomy. Cybermetrics [ EB/OL]. [ 2011-06-11 1. http://www, cin- doc. csic. es/cybermetrics/articles/v5il p2. html.
  • 2PENDLEBURY D A. White Paper:Using Bibliometrics in Evaluating Research [ EB/OL ]. [ 2010-06-05 ]. http://isiwebofknowledge. com/mediafpdf/UsingBibliometricsinEval_WP, pdf.
  • 3约翰.斯科特.社会网络分析法[M].重庆:重庆大学出版社,2011.
  • 4WHITE H D. Pathfinder Networks and Author Cocitation Analysis : A remapping of Paradigmatic Information Scientists [ J ]. Journal of the American Society for Information Science and Technology. 2003,54( 5 ) :423-434.
  • 5NEWMAN M E J. The Structure of Scientific Collaboration Networks [J]. Proceedings of the National Academy of Sciences of the USA. 2001,98(2) :404-409.
  • 6邱均平,瞿辉.我国科研机构合作网络知识扩散研究——以“生物多样性”研究为例[J].图书情报知识,2011,28(6):5-11. 被引量:27
  • 7杨张博,高山行.基于SNA的生物技术产业集群技术结构研究——以波士顿集群为例[J].科学学研究,2013,31(9):1338-1346. 被引量:11
  • 8高霞,官建成.基于社会网络分析的我国区域知识交流模式研究[J].研究与发展管理,2011,23(5):110-117. 被引量:8
  • 9BELL D C, ATIKINSON J S ;CARLSON J W. Centrality Measures for Disease Transmission Networks [ J ]. Social Networks, 1999,21 (1):1-21.
  • 10BORGATFI S P, EVERETY M G, FREEMAN L C. Ucinet 5 for Windows:Software for Social Network Analysis [ EB/OL]. Harvard, MA:Analytic Technologies,(1999) [2011-09-15]. http://wenku. baidu, com/view/75a10eeb172ded630bl cb662, html.

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