基于社会网络分析的社会计算领域的作者合作分析被引量：36

The Collaborative Research of Social Computing Based on Social Network Analysis

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摘要以Web of Science数据库收录的社会计算领域的文献为数据源,利用Ucinet和Pajek构建了社会计算领域作者合作网络,结合复杂网络理论和社会网络分析法,对该领域作者合作的整体网络进行了较为详细的分析,并得到4种合作模式双核模式、桥梁模式、完备模式及持续发展模式。最后,还深入分析了3个典型的持续发展合作网络的演化过程以及其研究主题。 Selecting the literatures on social computing in the Web of Science database as data sources, and using Ucinet and Pajek, this paper constructs an author collaboration network. Based on the social network analysis method and complex network theory, the paper ana- lyzes the co-authorship network elaborately, and generalizes four types subnet model of author collaboration. At last, the development processes and research content of three typical subnets are analyzed deeply.

作者彭希羡朱庆华沈超

机构地区南京大学信息管理学院南京大学工程管理学院南京邮电大学经济与管理学院

出处《情报杂志》 CSSCI 北大核心 2013年第3期93-100,共8页 Journal of Intelligence

基金国家社会科学基金重大项目"社会科学计算实验基本理论关键技术及应用研究"(编号:11&ZD 169)子课题的研究成果之一

关键词社会计算社会计算实验合著作者合作社会网络分析中心性 social computing social computing experiment coauthoring author cooperation social network analysis centrality

分类号 G35 [文化科学—情报学]

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参考文献16

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