摘要
社会网络分析在情报学中的应用有多个层次：通过对研究者合作发文的网络分析，发现研究人员合作的紧密程度；通过对团队合作的时序对比，发现团队的稳定性及变化；通过共词分析，发现隐藏在真实关系网背后隐藏的关系网络；通过引文网络追踪知识积累与发现的过程、评价学术成果、评价作者学术水平。依据该方法，本文对中国情报学进行了分析，从中发现了一些传统研究方法难以发现的现象和规律。
There are different levels to apply social network analysis （SNA） in information science. By analysing co-author papers, author cooperation degree of areas or institutes can be found. Through tracking a team work, stability and change can be found. In comparing co-words between researchers, we can mine deep relational network behind real relational network. Using citations network, we can track the processes of knowledge accumulate and discovery, evaluate paper and author. In this paper, Chinese information science is analysed by using SNA. Some rules and phenomena, that difficult to be found by traditional methods, are found in the paper cooperation network.
出处
《情报学报》
CSSCI
北大核心
2008年第3期407-417,共11页
Journal of the China Society for Scientific and Technical Information
关键词
社会网络分析
引文分析
共词分析
SNA （social network analysis）, information science, citation analysis, co-words analysis
