社会网络分析方法在情报分析中的应用研究
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  • 英文篇名:Development of Social Network Analysis (SNA) Using Intelligence Analysis
  • 作者:陈云伟
  • 英文作者:Chen Yunwei;Scientometrics & Evaluation Research Center SERC, Chengdu Library and Information Center,Chinese Academy of Sciences;
  • 关键词:社会网络分析 ; 情报分析 ; 引文网络 ; 合作网络 ; 主题关联网络
  • 英文关键词:social network analysis;;intelligence analysis;;citation network;;collaboration network;;topic-associated network
  • 中文刊名:QBXB
  • 英文刊名:Journal of the China Society for Scientific and Technical Information
  • 机构:中国科学院成都文献情报中心科学计量与科技评价研究中心;
  • 出版日期:2019-01-24
  • 出版单位:情报学报
  • 年:2019
  • 期:v.38
  • 基金:国家重点研发计划现代服务业重点专项“专业内容知识服务众智平台与应用示范”(2017YFB1402400)
  • 语种:中文;
  • 页:QBXB201901003
  • 页数:8
  • CN:01
  • ISSN:11-2257/G3
  • 分类号:25-32
摘要
从合作网络、引文网络、主题关联网络三个角度出发,对社会网络分析方法在情报分析中的应用研究进展进行梳理,侧重对经典概念、方法和算法进行梳理,对新概念、新思路、新指标、新算法等进行分析与总结,并对其功能与应用前景进行讨论。
        The purpose of this paper was to conclude the development of social network analysis(SNA) using intelligence analysis through the following three aspects: collaboration network, citation network, and topic-associated network. This paper emphasizes combining classic concepts, methods, and algorithms, as well as introducing new concepts, ideas,indicators, and algorithms. Finally, this paper discusses the functions and prospects of SNA.
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