Scroogefactor: Compute the Scroogefactor
In Selbosh/scrooge: Statistical modelling of heterogeneous citation networks
Description
Usage
Arguments
Details
Value
References
See Also
Examples
Description
The Scroogefactor is PageRank divided by out-degree. It can be used as an approximate estimator for the Bradley–Terry model.
Usage
1
Scroogefactor(C, alpha = 1, sort = FALSE)
Arguments
C
a square matrix
alpha
a damping factor
sort
logical. Reorder the indices in descending order of Scroogefactor score
Details
Pinksi and Narin (1976) first proposed this metric as a citation metric called the influence per reference.
When applied to citation data, it can be interpreted as the influence per outgoing reference, effectively penalising larger
publications and review journals, which have larger combined bibliographies. When applied to sports or games results, it is
influence per game lost.
Value
A vector equivalent to PageRank per reference, scaled to sum to one
References
Pinski, G., & Narin, F. (1976).
Citation influence for journal aggregates of scientific publications: Theory, with application to the literature of physics.
Information Processing & Management,
12(5), 297–312.
See Also
Other network centrality estimators: BTscores,
BradleyTerry, ILSR,
PageRank
Examples
1
Scroogefactor(citations, alpha = 1, sort = TRUE)
Selbosh/scrooge documentation built on May 5, 2019, 8 p.m.
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Description Usage Arguments Details Value References See Also Examples
Description
The Scroogefactor is PageRank divided by out-degree. It can be used as an approximate estimator for the Bradley–Terry model.
Usage
1 | Scroogefactor(C, alpha = 1, sort = FALSE)
|
Arguments
C |
a square matrix |
alpha |
a damping factor |
sort |
logical. Reorder the indices in descending order of Scroogefactor score |
Details
Pinksi and Narin (1976) first proposed this metric as a citation metric called the influence per reference. When applied to citation data, it can be interpreted as the influence per outgoing reference, effectively penalising larger publications and review journals, which have larger combined bibliographies. When applied to sports or games results, it is influence per game lost.
Value
A vector equivalent to PageRank per reference, scaled to sum to one
References
Pinski, G., & Narin, F. (1976). Citation influence for journal aggregates of scientific publications: Theory, with application to the literature of physics. Information Processing & Management, 12(5), 297–312.
See Also
Other network centrality estimators: BTscores,
BradleyTerry, ILSR,
PageRank
Examples
1 | Scroogefactor(citations, alpha = 1, sort = TRUE)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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