Global Maps of Science
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"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." (abstract)
"Design and Update of a Classification System: The UCSD Map of Science" was published in PLoS ONE on July 12, 2012. SLIS Professor Katy Börner, colleagues from the Cyberinfracture for Network Science Center (at SLIS), and colleagues from The Netherlands, Pennsylvania, New Mexico, and Canada co-authored the article (see abstract and author affiliation below).
- “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 used 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 Sciences, 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 shows (i) an increase in the total number of journals that can be mapped by 9,409 journals (social sciences had an 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.”
Authors: Katy Börner1,2*, Richard Klavans3, Michael Patek3, Angela M. Zoss1, Joseph R. Biberstine1, Robert P. Light1, Vincent Larivière1,4,5, and Kevin W. Boyack6
1 Cyberinfrastructure for Network Science Center, School of Library and Information Science, Indiana University, Bloomington, IN, USA
2 Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, The Netherlands
3 SciTech Strategies, Inc., Berwyn, PA, USA
4 École de bibliothéconomie et des sciences de l’information, Université de Montréal, Montréal, Canada
5 Observatoire des Sciences et des Technologies (OST), Centre Interuniversitaire de Recherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal, Montréal, Canada
6 SciTech Strategies, Inc., Albuquerque, NM, USA
Posted July 16, 2012