The goal of coauthornetwork is to plot a network of authors-coauthors from Google Scholar.
You can install it from GitHub with:
# install.packages("devtools")
devtools::install_github("cimentadaj/coauthornetwork")The package only has two functions: grab_network to extract the
network of coauthors and plot_coauthors to plot the network as a
ggraph. The only thing you need is the string in the Google Scholar
profile after the root of the website. For example, a Google Scholar
profile URL is typically structured like this
https://scholar.google.es/citations?user=amYIKXQAAAAJ&hl=en.
grab_network will accept the end of the URL:
citations?user=amYIKXQAAAAJ&hl=en and search for the network of
coauthors.
A basic example:
library(coauthornetwork)
final_network <- grab_network('citations?user=amYIKXQAAAAJ&hl=en', n_coauthors = 5)
plot_coauthors(final_network, size_labels = 3)
grab_network has an additional argument called n_deep which controls
the degree of depth in which to go down the coauthorship list. An
n_deep of 1 (default) will grab all of the coauthors of the Google
Scholar profile and also their coauthors. An n_deep of 2 will expand
to this:
Google Scholar Profile – > Coauthors –> Coauthors –> Coauthors
I urge the user to use an n_deep of 2 at most because the network can
grow exponentially with an n_deep of 2 or above. For
example..
final_network <- grab_network('citations?user=amYIKXQAAAAJ&hl=en', n_coauthors = 10, n_deep = 2)
plot_coauthors(final_network, size_labels = 3)