In cimentadaj/coauthornetwork: Grab and visualize a network of coauthors for a given Google Scholar profile

knitr::opts_chunk$set(
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coauthornetwork

The goal of coauthornetwork is to plot a network of authors-coauthors from Google Scholar.

Installation

You can install it from GitHub with:

# install.packages("devtools")
devtools::install_github("cimentadaj/coauthornetwork")

Example

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)

cimentadaj/coauthornetwork documentation built on May 7, 2019, 10:57 a.m.