This is the code repository for the Group 17's project in the course CSIT6000K: Social Networks and Social Computing.

Files in this repository are:

This notebook performs data pre-processing, obtains basic characteristics of the dataset, and provides processed data for further analysis in R and visualization with Gephi. It is tested under Python 3.9, and requires the following python packages: pandas, networkx, matplotlib, pyyaml.

Without modification, this notebook will read from a pre-processed dataset file out_full.csv. Download out_full.csv here.

If you want to use the original dataset (out_1~19.csv), follow the instructions in the first code block of the notebook.

This script performs ERGM analysis using the data provided by data_cleaning.ipynb. You could execute this R script without executing data_cleaning.ipynb first, since the required data is already in this repository.

This R script requires the following packages: igraph, statnet, intergraph.

Most of the remaining files could be generated by running the two scripts above.