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The goal of biblionetwork is to provide functions to create bibliometric networks like bibliographic coupling network, co-citation network and co-authorship network. It identifies edges and calculates the weights according to different methods, depending on the type of networks, the type of nodes, and what you want to analyse. These functions are optimized to be used on very large dataset.
The original function, which uses data.table (Dowle and Srinivasan 2020) and allows the user to find edges and calculate weights for large networks, was developed by François Claveau. The different functions in this package have been developed, from Claveau’s original idea, by Alexandre Truc and Aurélien Goutsmedt. The package is maintained by Aurélien Goutsmedt.[1]
You can cite this package as:
citation("biblionetwork")
#>
#> To cite biblionetwork in publications use:
#>
#> Aurélien Goutsmedt, François Claveau and Alexandre Truc (2021).
#> biblionetwork: A Package For Creating Different Types of Bibliometric
#> Networks. R package version 0.0.0.9000.
#> https://github.com/agoutsmedt/biblionetwork
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {biblionetwork: A Package For Creating Different Types of Bibliometric Networks},
#> author = {Aurélien Goutsmedt and François Claveau and Alexandre Truc},
#> year = {2021},
#> note = {R package version 0.0.0.9000},
#> url = {https://github.com/agoutsmedt/biblionetwork},
#> }
#>
#> As biblionetwork is continually evolving, you may want to cite its
#> version number. Find it with 'help(package=biblionetwork)'.You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("agoutsmedt/biblionetwork")The basic function of the package is the
biblio_coupling() function. This function calculates the
number of references that different articles share together, as well as
the coupling angle value of edges in a bibliographic coupling network
(Sen and Gan 1983). What you need is just a
file with entities (documents, authors, universities, etc.)
citing references.[2] See the
vignette("Using_biblionetwork") for a more in-depth
presentation of the package.
This example use the data incorporated in the package.
library(biblionetwork)
biblio_coupling(Ref_stagflation,
source = "Citing_ItemID_Ref",
ref = "ItemID_Ref",
normalized_weight_only = FALSE,
weight_threshold = 1)
#> from to weight nb_shared_references Source
#> 1: 214927 2207578 0.14605935 4 214927
#> 2: 214927 5982867 0.04082483 1 214927
#> 3: 214927 8456979 0.09733285 3 214927
#> 4: 214927 10729971 0.29848100 7 214927
#> 5: 214927 16008556 0.04714045 1 214927
#> ---
#> 2712: 1111111161 1111111172 0.03434014 1 1111111161
#> 2713: 1111111161 1111111180 0.02003610 1 1111111161
#> 2714: 1111111161 1111111183 0.04050542 2 1111111161
#> 2715: 1111111172 1111111180 0.03646625 1 1111111172
#> 2716: 1111111182 1111111183 0.27060404 8 1111111182
#> Target
#> 1: 2207578
#> 2: 5982867
#> 3: 8456979
#> 4: 10729971
#> 5: 16008556
#> ---
#> 2712: 1111111172
#> 2713: 1111111180
#> 2714: 1111111183
#> 2715: 1111111180
#> 2716: 1111111183The biblionetwork package contains bibliometric data built by Goutsmedt (2021). These data gather the academic
articles and books, published between 1975 and 2013, that endeavoured to
explain the United States stagflation of the 1970s. They also gather all
the references cited by these articles and books on stagflation. The
Nodes_stagflation.rda file contains information about the
academic articles and books on stagflation (the staflation documents),
as well as about the references cited at least by two of these
stagflation documents. The Ref_stagflation.rda is a data
frame of direct citations, with the identifiers of citing documents, and
the identifiers of cited documents. The
Authors_stagflation.rda is a data frame with the list of
documents explaining the US stagflation, and all the authors of these
documents (Nodes_stagflation.rda just takes the first
author for each document).
[1] Contact: agoutsmedt@hotmail.fr.
[2] If you want to build a coupling network with entities larger than
a document (meaning entities that have published several documents, and
thus can cite a reference several times), we rather recommend the use of
the coupling_entity() function. See the
vignette("Using_biblionetwork") for examples.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.