社会计算领域的文献计量分析

Bibliometric Analysis of Social Computing

以Web of Science中收录的以社会计算为主题的397篇文献记录为研究对象,分析了发表论文的时空分布。利用可视化软件CiteSpace绘制作者、文献知识图谱,分析构成该领域的知识基础,并讨论其在社会计算领域研究中的重要作用。通过绘制Dual-map,探讨社会计算领域施引文献和被引文献的期刊分布。从研究人员及国家来看,研究人员的整体合作度较高,美国和中国具有较强的国际影响力;从文献共引来看,社会计算领域知识基础是由一组高被引、高中心性的文献构成,目前的研究热点主要有社会网络、电子商务等;从期刊分布来看,施引期刊主要集中在数学、系统学等领域,被引期刊则分布于计算机学、社会学以及经济学等领域。

Using the newly developed information visualization methods to analyze the 397 literature records regarding to Social Compu- ting retrieved from Web of Science, the distribution of time, geographic regions and institutions for the published papers was explored. Then the knowledge map of authors and cited references on Social Computing were drawn by using CiteSpace, the knowledge base of the research was analyzed, and the important role of the knowledge base was then discussed. The journals distribution of citing literature and cited literature on Social Computing was analyzed by drawing Dual-map. It is found that as for the researchers and their nationals, the o- verall cooperation level between researchers is high with the two countries of the United States and China having strong international influ- ence; as for the aspect of co-cited, the knowledge base of Social Computing is made up of high cited and high centrality literatures, the research hotspots of this field presently mainly are social network, e-commerce et al. ; in the aspect of journals distribution, citing journals are mainly in the areas of math, science and systems, while cited journals are in areas of computer science, sociology and economics et al.