On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data
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- 作者：María del Carmen Calatrava Moreno ; Thomas Auzinger ; Hannes Werthner
- 关键词：Interdisciplinarity ; Rao–Stirling index ; Bibliometrics ; Missing data ; Uncertainty ; Optimization ; Spanning tree
- 刊名：Scientometrics
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：107
- 期：1
- 页码：213-232
- 全文大小：787 KB
- 刊物主题：Information Storage and Retrieval; Library Science; Interdisciplinary Studies;
- 出版者：Springer Netherlands
- ISSN：1588-2861
文摘
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.