https://github.com/russelljjarvis/coauthornetvis

Building an author network visualization? You can now do this and avoid Google Scholar scraping entirely!
https://github.com/russelljjarvis/coauthornetvis

coauthor etudier interactive network vizualisation

Last synced: 6 days ago
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Building an author network visualization? You can now do this and avoid Google Scholar scraping entirely!

• Host: GitHub
• URL: https://github.com/russelljjarvis/coauthornetvis
• Owner: russelljjarvis
• License: mit
• Created: 2021-02-18T10:46:46.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2022-01-02T05:24:48.000Z (about 3 years ago)
• Last Synced: 2024-11-11T16:45:30.387Z (2 months ago)
• Topics: coauthor, etudier, interactive, network, vizualisation
• Language: Jupyter Notebook
• Homepage: https://calm-dusk-34444.herokuapp.com/
• Size: 9.21 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Coauthor Network Visualisation.

[Live version of application](https://calm-dusk-34444.herokuapp.com/)

[![DOI](https://zenodo.org/badge/340018407.svg)](https://zenodo.org/badge/latestdoi/340018407)

Building an author network visualization? Why not avoid Google Scholar scraping entirely?

This app is similar to [etudier](https://github.com/edsu/etudier) except that network graphs are interactive and Google scholar scraping is completely bypassed in favor of the dissemin API. This app is also like [GeoSocialVis](https://github.com/dsaffo/GeoSocialVis) except that it is written in python not java script and so far this application fails to include geographic information. [Geographic networks](https://share.streamlit.io/russelljjarvis/sirg_geo_net/main/app3.py) are also possible using this application.