| 基于同被引分析的科学结构图 |
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| 引用本文： | 王小梅,韩涛,王俊,吴清强,张晓林.基于同被引分析的科学结构图[J].科学观察,2009,4(4):1-15. |
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| 作者姓名： | 王小梅 韩涛 王俊 吴清强 张晓林 |
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| 作者单位： | 中国科学院国家科学图书馆 北京 100190 |
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| 基金项目： | 本研究项目得到了中国科学院规划战略局潘教峰局长的大力支持和指导; |
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| 摘 要： | 通过对汤森路透科技集团的基本科学指标库（Essential Science Indicators）2002—2007年间的高被引论文进行同被引聚类，揭示出121个研究领域，并绘制了科学图谱以展现各研究领域间的关联程度。在此基础上，分析了121个研究领域的学科交叉性。通过对科学结构及其演化的研究和揭示，为其他专业领域研究提供一种思考问题、发现潜在交叉学科和“热点”领域的方法。
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| 关 键 词： | 科学图谱 同被引 聚类 可视化 研究领域 |
Mapping Science Based on Co-citation Analysis |
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| Wang Xiaomei,Han Tao,Wang Jun,Wu Qingqiang,Zhang Xiaolin.Mapping Science Based on Co-citation Analysis[J].Science Focus,2009,4(4):1-15. |
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| Authors: | Wang Xiaomei Han Tao Wang Jun Wu Qingqiang Zhang Xiaolin |
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| Institution: | National Science Library, Chinese Academy of Sciences, Beijing 100190, China |
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| Abstract: | 121 research areas were explored through co-citation cluster on a group of highly cited papers, 2002-2007, from Essential Science Indicators and a map of science was generated to analyze how research areas were related to each other. On the basis, interdisciplinarity of 121 research areas were analyzed. A possible approach was provided to discover new scientific problems, potential interdiscipline and “hot” area in research areas by analysis of mapping and evolution of science. |
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| Keywords: | science map co-citation cluster visualization research area |
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