Network Data Analysis Coursework (7CUSMNDA)

Final submission for the MSc Network Data Analysis coursework, King's College London.

Layout

• Analysis/part1_task[A-C]_*.py — scripts for Part 1 (Wikidata editor co-comment networks)
• Analysis/part2_task[A-C]_*.py — scripts for Part 2 (Leeds road network, accidents, marathon routing)
• Analysis/outputs/ — per-task figures, tables, JSON summaries consumed by the report
• report/generate_report.py — builds the final PDF via fpdf2
• report/K25120780_7CUSMNDA_Coursework.pdf — submitted report

Reproducing

Run scripts from the project root, in order within each Part. Later tasks read pickle graphs saved by Task A, so Task A must run first.

Part 1:

python3 Analysis/part1_taskA_network_construction.py
python3 Analysis/part1_taskB_network_metrics.py
python3 Analysis/part1_taskC_propagation_model.py

Part 2:

python3 Analysis/part2_taskA_spatial_network.py
python3 Analysis/part2_taskB_accident_analysis.py
python3 Analysis/part2_taskC_marathon_route.py

Report:

python3 report/generate_report.py

Part 1 expects the three Wikidata CSVs in Assessment/Part1_Data/datasets/ (REQUEST_FOR_DELETION, PROPERTY_PROPOSAL, BOT_REQUESTS). Part 2 expects the Leeds shapefiles and accident spreadsheets in Assessment/Part2_Data/. Raw data is not redistributed here — paths match the coursework materials.

Part 2 Task A downloads the Leeds drive network via OSMnx on first run (internet required); subsequent runs reuse the cached graph in Analysis/outputs/part2_taskA/graphs/.

Dependencies

Python 3.10+. See requirements.txt.