本文以内分泌与代谢学科领域中六种核心期刊在2003 ~2007 年发表论文的全部主要主题词的频次,生成高频主题词的共现矩阵,利用SPSS 做聚类分析得到该学科当前研究热点.在共词聚类的基础上,绘制出2003 ~ 2007 年研究热点的基本框架---战略坐标图,揭示了该研究主题的内外部联系并对发展趋势进行分析.此外,通过社会网络分析揭示了该研究领域的核心主题,并应用Netdraw 对共词矩阵进行可视化,展现每个高频词之间的共现关系.本文将科学计量学和可视化技术结合应用于学科分析,目的是直观地揭示共词网络中隐藏的信息或知识,为科研人员对学科发展方向的决策提供参考.%We counted the frequency of major Mesh terms in six core journals of endocrinology and metabolism domain from 2003 to 2007 and generated co-occurrence matrix of high-frequency Mesh terms. Hierarchical clustering was used to find the hotspots of current research by SPSS. Based on the clutering, we drew the strategic diagram which revealed the relationships between the intra- and inter-cluster. Furthermore, we utilized the social network analysis to show the crucial topic in its field. Graphs of co-occurrence relationships among the high-frequency Mesh words were generated by Netdraw. We applied scientometrics and visualization methods in disciplinary analysis to directly display the hidden information or knwoledge in co-term network . It is useful to provide a decision-making reference for professionals and managers.
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