On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data

Calatrava Moreno, Maria D C and Auzinger, Thomas and Werthner, Hannes (2016) On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data. Scientometrics, 107 (1). pp. 213-232. ISSN 1588-2861

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Abstract

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.

Item Type: Article
DOI: 10.1007/s11192-016-1842-4
Uncontrolled Keywords: uncertainty, Optimization, Bibliometrics, Interdisciplinarity, Missing data, Rao-Stirling index, Spanning tree
Subjects: 000 Computer science, knowledge & general works > 000 Computer science, knowledge & systems
Research Group: Bickel Group
SWORD Depositor: Sword Import User
Depositing User: Sword Import User
Date Deposited: 25 Apr 2016 08:31
Last Modified: 30 Aug 2017 12:00
URI: https://repository.ist.ac.at/id/eprint/530

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