https://github.com/cimentadaj/coauthornetwork
Explore your network of coauthors from your Google Scholar profile
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: scholar.google -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.9%) to scientific vocabulary
Keywords
academia
google-scholar-scrapper
network-visualization
Last synced: 5 months ago
·
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Repository
Explore your network of coauthors from your Google Scholar profile
Basic Info
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1
- Releases: 0
Topics
academia
google-scholar-scrapper
network-visualization
Created over 7 years ago
· Last pushed over 7 years ago
Metadata Files
Readme
License
README.Rmd
---
output: github_document
---
```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
warning = FALSE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# coauthornetwork
The goal of coauthornetwork is to plot a network of authors-coauthors from Google Scholar.
## Installation
You can install it from [GitHub](https://github.com/) with:
``` r
# 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:
```{r 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..
```{r pressure}
final_network <- grab_network('citations?user=amYIKXQAAAAJ&hl=en', n_coauthors = 10, n_deep = 2)
plot_coauthors(final_network, size_labels = 3)
```
Owner
- Name: Jorge Cimentada
- Login: cimentadaj
- Kind: user
- Location: Madrid
- Company: Senior Data Scientist
- Website: https://cimentadaj.github.io/
- Repositories: 6
- Profile: https://github.com/cimentadaj
@ eDreams
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 7
- Total pull requests: 3
- Average time to close issues: 2 days
- Average time to close pull requests: almost 3 years
- Total issue authors: 2
- Total pull request authors: 1
- Average comments per issue: 2.0
- Average comments per pull request: 2.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ghost (5)
- mkiang (1)
Pull Request Authors
- ghost (3)