sinta_life_sciences

This repository contains the code and data for scraping and analyzing data from SINTA (Science and Technology Index) for the Biology Faculty at UGM (Universitas Gadjah Mada) and also other life science researchers at 4 other Indonesian Universities

Getting Started

These instructions will guide you on how to run the analysis on your local machine.

Prerequisites

You need to have Mamba installed on your machine.

Installing

1. Clone this repository to your local machine:

git clone https://github.com/yourusername/sinta_bio_ugm.git

2. Navigate to the cloned repository:

cd sinta_bio_ugm

3. Install the required Python packages using the provided env.yaml file:

mamba env create -f env.yaml

Running the Analysis

1. Activate the conda environment:

conda activate your_env_name

2. Navigate to the notebooks_UGM directory (or the other notebooks):

cd notebooks_UGM

3. Run the Jupyter notebooks in order:

jupyter notebook 00_data_scraping.ipynb
jupyter notebook 01_EDA.ipynb
jupyter notebook 02_co-author-network.ipynb

The 00_data_scraping.ipynb notebook scrapes the data, 01_EDA.ipynb performs exploratory data analysis, and 02_co-author-network.ipynb creates a co-author network.

Results

The results of the analysis are stored in the figures directory. The scraped data is stored in the data directory.