Statistical modelling of heterogeneous citation networks

An R package containing utilities useful for the author’s doctoral research in bibliometrics.

Install and load the package using

devtools::install_github('Selbosh/scrooge')
library(scrooge)

Bibliometric datasets

head(articles)
#>      articles
#> AmS        49
#> AISM       52
#> AoS       101
#> ANZS       27
#> Bern       60
#> BioJ       53

Journal ranking metrics

head(names(ILSR(citations, sort = TRUE)))
#> [1] "JRSS-B" "AoS"    "Bka"    "JASA"   "Bcs"    "JRSS-A"
head(names(PageRank(citations, sort = TRUE)))
#> [1] "JASA"   "AoS"    "JRSS-B" "StMed"  "Bcs"    "Bka"
head(names(Scroogefactor(citations, sort = TRUE)))
#> [1] "JRSS-B" "AoS"    "Bka"    "JASA"   "JRSS-A" "Bcs"

For comparison, here are the results of analysis of the same data using the BradleyTerry2 package and the Bradley–Terry model:

head(names(BTscores(citations)))
#> [1] "AmS"  "AISM" "AoS"  "ANZS" "Bern" "BioJ"
cor(BTscores(citations), ILSR(citations))
#> [1] 1