RaoCounts

A vector of counts of citations to different disciplines of a single publication.
The length of the vector should be equal to the total number of disciplines.

counts

A positive semi-definite matrix that encodes the similarity between disciplines, as explained in Porter and Rafols (2009).
The dimensions of this matrix are n x n, being n the total number of disciplines.
The number of rows and the number columns of this matrix need to be equal to the length of <code>counts</code>.
The self-similarities (i.e. the diagonal elements) have to be 1.

similarity

This function calculates the Rao-Stirling diversity index of a single publication, based on the count of citations to different disciplines.
Note that this function returns the correct result if a vector of proportions is supplied as input. Since a normalization by (approximately) 1.0 is performed, the result is identical to the result of the function <code><a rd-options="" href="/link/RaoProportions?package=robustrao&version=1.0-5" data-mini-rdoc="robustrao::RaoProportions">RaoProportions</a></code> up to numerical precision.

internal

A collection of functions to compute the Rao-Stirling diversity index
(Porter and Rafols, 2009) <DOI:10.1007/s11192-008-2197-2> 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/s11192-016-1842-4>.
The Rao-Stirling diversity index is a well-established 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 Rao-Stirling 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.

Mara del Carmen Calatrava Moreno

robustrao

An Extended Rao-Stirling Diversity Index to Handle Missing Data

RaoCounts function

This function calculates the Rao-Stirling diversity index of a single publication, based on the count of citations to different disciplines.
Note that this function returns the correct result if a vector of proportions is supplied as input. Since a normalization by (approximately) 1.0 is performed, the result is identical to the result of the function <code><a rd-options='' href='RaoProportions'>RaoProportions</a></code> up to numerical precision.

RaoCounts: Rao-Stirling diversity index based on the counts of cited disciplines.

Description

Usage

Arguments

Value

References