A collection of functions to compute the RaoStirling diversity index (Porter and Rafols, 2009) <DOI:10.1007/s1119200821972> and its extension to acknowledge missing data (i.e., uncategorized references) by calculating its interval of uncertainty using mathematical optimization as proposed in Calatrava et al. (2016) <DOI:10.1007/s1119201618424>. The RaoStirling diversity index is a wellestablished bibliometric indicator to measure the interdisciplinarity of scientific publications. Apart from the obligatory dataset of publications with their respective references and a taxonomy of disciplines that categorizes references as well as a measure of similarity between the disciplines, the RaoStirling diversity index requires a complete categorization of all references of a publication into disciplines. Thus, it fails for a incomplete categorization; in this case, the robust extension has to be used, which encodes the uncertainty caused by missing bibliographic data as an uncertainty interval. Classification / ACM  2012: Information systems ~ Similarity measures, Theory of computation ~ Quadratic programming, Applied computing ~ Digital libraries and archives.
Package details 


Author  María del Carmen Calatrava Moreno [aut, cre], Thomas Auzinger [aut] 
Maintainer  María del Carmen Calatrava Moreno <[email protected]> 
License  GPL3 
Version  1.03 
URL  https://gitlab.com/mc.calatrava.moreno/robustrao.git 
Package repository  View on CRAN 
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