Mapping the structure of science through usage |
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Authors: | Johan Bollen Herbert van de Sompel |
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Affiliation: | (1) Research Library, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA;(2) Research Library, Los Alamos National Laboratory, Los Alamos, NM (USA) |
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Abstract: | Summary Science has traditionally been mapped on the basis of authorship and citation data. Due to publication and citation delays
such data represents the structure of science as it existed in the past. We propose to map science by proxy of journal relationships
derived from usage data to determine research trends as they presently occur. This mapping is performed by applying a principal
components analysis superimposed with a k-means cluster analysis on networks of journal relationships derived from a large
set of article usage data collected for the Los Alamos National Laboratory research community. Results indicate that meaningful
maps of the interests of a local scientific community can be derived from usage data. Subject groupings in the mappings corresponds
to Thomson ISI subject categories. A comparison to maps resulting from the analysis of 2003 Thomson ISI Journal Citation Report data reveals interesting differences between the features of local usage and global citation data. |
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