Title: On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data
Language: English
Authors: Calatrava Moreno, María del Carmen 
Auzinger, Thomas 
Werthner, Hannes 
Category: Original Research Article
Issue Date: 2016
Journal: Scientometrics
ISSN: 1588-2861
The accuracy of interdisciplinarity measurements is directly related to the quality of the underlying bibliographic data. Existing indicators of interdisciplinarity are not capable of reflecting the inaccuracies introduced by incorrect and incomplete records because correct and complete bibliographic data can rarely be obtained. This is the case for the Rao–Stirling index, which cannot handle references that are not categorized into disciplinary fields. We introduce a method that addresses this problem. It extends the Rao–Stirling index to acknowledge missing data by calculating its interval of uncertainty using computational optimization. The evaluation of our method indicates that the uncertainty interval is not only useful for estimating the inaccuracy of interdisciplinarity measurements, but it also delivers slightly more accurate aggregated interdisciplinarity measurements than the Rao–Stirling index.
Keywords: Interdisciplinarity; Rao–Stirling index; Bibliometrics; Missing data; Uncertainty; Optimization; Spanning tree
DOI: 10.1007/s11192-016-1842-4
Library ID: AC11360019
URN: urn:nbn:at:at-ubtuw:3-1522
Organisation: E188 - Institut für Softwaretechnik und Interaktive Systeme 
Publication Type: Article
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