<div class="csl-bib-body">
<div class="csl-entry">Calatrava Moreno, M. del C., Auzinger, T., & Werthner, H. (2016). On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data. <i>Scientometrics</i>. https://doi.org/10.1007/s11192-016-1842-4</div>
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The final publication is available at Springer via <a href="https://doi.org/10.1007/s11192-016-1842-4" target="_blank">https://doi.org/10.1007/s11192-016-1842-4</a>.
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dc.description.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.
en
dc.language
English
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dc.language.iso
en
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dc.publisher
Springer
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dc.relation.ispartof
Scientometrics
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Interdisciplinarity
en
dc.subject
Rao–Stirling index
en
dc.subject
Bibliometrics
en
dc.subject
Missing data
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dc.subject
Uncertainty
en
dc.subject
Optimization
en
dc.subject
Spanning tree
en
dc.title
On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data
en
dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dcterms.dateSubmitted
2015-09-21
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dc.rights.holder
The Author(s) 2016
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dc.type.category
Original Research Article
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tuw.journal.peerreviewed
true
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tuw.peerreviewed
true
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tuw.version
vor
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dcterms.isPartOf.title
Scientometrics
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tuw.publication.orgunit
E188 - Institut für Softwaretechnik und Interaktive Systeme
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tuw.publisher.doi
10.1007/s11192-016-1842-4
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dc.date.onlinefirst
2016-02-09
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dc.identifier.eissn
1588-2861
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dc.identifier.libraryid
AC11360019
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dc.identifier.urn
urn:nbn:at:at-ubtuw:3-1522
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
wb.sci
true
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item.cerifentitytype
Publications
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item.openairetype
research article
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item.languageiso639-1
en
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item.fulltext
with Fulltext
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item.openaccessfulltext
Open Access
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item.grantfulltext
open
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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crisitem.author.dept
E188 - Institut für Softwaretechnik und Interaktive Systeme
-
crisitem.author.dept
E186 - Institut für Computergraphik und Algorithmen
-
crisitem.author.dept
E194-04 - Forschungsbereich E-Commerce
-
crisitem.author.parentorg
E180 - Fakultät für Informatik
-
crisitem.author.parentorg
E180 - Fakultät für Informatik
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering