Scholar Graphs

A simple model for plotting connectivity between authors!
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Table of Contents

1. About The Project
2. Getting Started
   • Prerequisites
3. Usage
4. Contributing
5. Contact
6. Acknowledgements

About The Project

This code is a very simple and easy-to-use scraper of profiles and graph generator (maybe papers in the future but right now Google scholar blocks connections for querys...).

Getting Started

The code uses python 3. use the following to download the required libraries

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• npm

   pip install -r requirements.txt
  

Usage

Run the script: scrape_profiles.py to scrape the coauthors up to a given number of node distances starting from an initial author

e.g run

 python scrape_profiles.py --name 'Martin Barry' --depth 3

Run the script: make_graph.py to simply create the matrix of connectivity between authors. This matrix can then be plotted using Gephi e.g run

 python make_graph.py  --depth 3

Contributing

Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Contact

Project Link: https://github.com/martinbarry59/scholar_graphs