基于共词分析的社会计算领域的研究主题

Research Topics in Social Computing Area Based on Co-word Analysis

文章以国际权威引文数据库Web of Science为数据来源,收集了到2011年为止有关社会计算的研究文献,并对其进行了共词分析。通过关键词词频统计分析,建立高频词共词表,利用SPSS进行层次聚类,归纳出社会计算领域的8个热点研究主题,并对其中5个热点研究主题进行深入分析与探讨,以期为该领域今后的研究提供一定的参考。

Taking the internationally-authoritative citation database Web of Science as data source, this paper collects research literatures on social computing up to 2011, and gives a co-word analysis of these literatures. By statistical analysis of key word frequency, the paper compiles the co-word table of the high frequency words, uses SPSS to make hierarchical clustering, and summarizes 8 hot research topics in social computing area. The paper makes an in-depth analysis and exploration of 5 hot topics among them, and attempts to provide some references for future research in this area.