Cyberinfrastructure for Network Science Center, School of Library and Information Science, Indiana University, Bloomington, Indiana, United States of America.
PLoS One. 2012;7(7):e39464. doi: 10.1371/journal.pone.0039464. Epub 2012 Jul 12.
Global maps of science can be used as a reference system to chart career trajectories, the location of emerging research frontiers, or the expertise profiles of institutes or nations. This paper details data preparation, analysis, and layout performed when designing and subsequently updating the UCSD map of science and classification system. The original classification and map use 7.2 million papers and their references from Elsevier's Scopus (about 15,000 source titles, 2001-2005) and Thomson Reuters' Web of Science (WoS) Science, Social Science, Arts & Humanities Citation Indexes (about 9,000 source titles, 2001-2004)-about 16,000 unique source titles. The updated map and classification adds six years (2005-2010) of WoS data and three years (2006-2008) from Scopus to the existing category structure-increasing the number of source titles to about 25,000. To our knowledge, this is the first time that a widely used map of science was updated. A comparison of the original 5-year and the new 10-year maps and classification system show (i) an increase in the total number of journals that can be mapped by 9,409 journals (social sciences had a 80% increase, humanities a 119% increase, medical (32%) and natural science (74%)), (ii) a simplification of the map by assigning all but five highly interdisciplinary journals to exactly one discipline, (iii) a more even distribution of journals over the 554 subdisciplines and 13 disciplines when calculating the coefficient of variation, and (iv) a better reflection of journal clusters when compared with paper-level citation data. When evaluating the map with a listing of desirable features for maps of science, the updated map is shown to have higher mapping accuracy, easier understandability as fewer journals are multiply classified, and higher usability for the generation of data overlays, among others.
全球科学地图可以作为参考系统,用于绘制职业轨迹、新兴研究前沿的位置,或者机构或国家的专业知识图谱。本文详细介绍了设计和随后更新 UCSD 科学地图和分类系统时的数据准备、分析和布局。原始分类和地图使用了来自爱思唯尔 Scopus(约 15000 个来源标题,2001-2005 年)和汤森路透 Web of Science(WoS)Science、Social Science、Arts & Humanities Citation Indexes(约 9000 个来源标题,2001-2004 年)的 720 万篇论文及其参考文献,涉及约 16000 个独特的来源标题。更新后的地图和分类系统增加了 WoS 数据的六年(2005-2010 年)和 Scopus 的三年(2006-2008 年),并在现有的类别结构中增加了六年(2005-2010 年)和 Scopus 的三年(2006-2008 年),增加了来源标题的数量约为 25000 个。据我们所知,这是首次更新广泛使用的科学地图。对原始的 5 年地图和新的 10 年地图和分类系统的比较表明:(i)可映射期刊总数增加了 9409 种(社会科学增加了 80%,人文科学增加了 119%,医学(32%)和自然科学(74%));(ii)通过将除了 5 种高度跨学科期刊外的所有期刊都分配到一个学科,使地图更加简化;(iii)在计算变异系数时,期刊在 554 个子学科和 13 个学科中的分布更加均匀;(iv)与论文层面的引文数据相比,期刊聚类的反映更好。在使用科学地图的理想特征列表评估地图时,更新后的地图具有更高的映射准确性,可理解性更强,因为分类错误的期刊数量更少,以及更高的数据叠加生成可用性,等等。