Download the source data file from the link provided: https://drive.google.com/file/d/1XhiVHb127mTvpM0LG8TkbvGtDURYcY9N/view?usp=sharing

We have separated the codes into the different stages of the project by folders labelled from '1_' to '3_'. In each folder, we have included the codes and input datasets for the codes.

Detailed Instructions before executing each folder is provided below:

1_Exploratory Data Analysis

• Drop the downloaded source data onto the 'Input File'
• Execute the notebook labelled as 'Master File - EDA + Network Structure.ipynb'
• The outputs are stored as .CSV files under the sub-folder 'Clean_data_files_Community' which will be used as input for '2_Community Detection'
• The outputs for folium plots are stored under the sub-folder 'Folium_Output'.

2_Community Detection

• Replace the path directory to match with your system's location for Basemap package installed before executing further
• Extract the 2 jupyter notebooks by unzipping the 'Community Detection Notebooks.zip' folder and save the files in the same destination
• Now, execute the notebook labelled as 'Community detection.ipynb' from the unzipped 'Community Detection Notebooks.zip' folder
• Next, execute the notebook labelled as 'Centrality on Communities.ipynb'from the 'Community Detection Notebooks.zip' folder
• The community detection output files in html format can be found under the sub-folder 'Output files_for_Community'

3_Network Classification

• Drop the downloaded source data onto the 'Input File'
• Execute the notebook labelled as 'Network Classification.ipynb'
• Misc_Files are used for intermediate code operations