A Global Map of Science Based on the ISI Subject Categories
A Global Map of Science Based on the ISI Subject Categories
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DOI：
10.1002/asi.20967
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发表时间：
2009-02-01
影响因子：
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通讯作者：
Rafols, Ismael
中科院分区：
文献类型：
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作者：
Leydesdorff, Loet;Rafols, Ismael
将科学文献分解为学科和子学科结构是科学计量学的核心目标之一。我们怎样才能实现良好的分解？ISI的主题分类对科学引文索引（SCI）中的期刊进行分类。期刊引文报告中包含的汇总期刊-期刊引文矩阵可以在这些类别的基础上进行汇总。这导致了一个不对称的矩阵（引用与被引用），它比期刊级别的底层矩阵密集得多。对主题类别矩阵进行探索性因子分析，得出14个因子的解决方案。这个解决方案可以解释为科学的学科结构。这些嵌套的科学地图（对应14个因素，172个类别，6164种期刊）可以在http://www.leydesdortf.net/map06上找到。据推测，ISI学科类别中期刊归属的不准确性被平均掉了，因此因子分析揭示了主要结构。因此，科学地图可以在大范围内是全面和可靠的，尽管在期刊归属于ISI主题类别方面不精确。
The decomposition of scientific literature into disciplinary and subdisciplinary structures is one of the core goals of scientometrics. How can we achieve a good decomposition? The ISI subject categories classify journals included in the Science Citation Index (SCI). The aggregated journal-journal citation matrix contained in the Journal Citation Reports can be aggregated on the basis of these categories. This leads to an asymmetrical matrix (citing versus cited) that is much more densely populated than the underlying matrix at the journal level. Exploratory factor analysis of the matrix of subject categories suggests a 14-factor solution. This solution could be interpreted as the disciplinary structure of science. The nested maps of science (corresponding to 14 factors, 172 categories, and 6,164 journals) are online at http://www.leydesdortf.net/map06. Presumably, inaccuracies in the attribution of journals to the ISI subject categories average out so that the factor analysis reveals the main structures. The mapping of science could, therefore, be comprehensive and reliable on a large scale albeit imprecise in terms of the attribution of journals to the ISI subject categories.