Supplementary Materials for: A Data-Driven Analysis of Structural Asymmetries in the gTLD Registrar Market

This repository contains the supplementary materials for the article "A Data-Driven Analysis of Structural Asymmetries in the gTLD Registrar Market," published in IEEE Access, vol. 14, pp. 103809–103819, 2026, doi: 10.1109/ACCESS.2026.3709387. It includes a modular Python pipeline to download, normalise, and merge ICANN-accredited registrar lists with monthly gTLD transaction CSVs (.com, .net, .org, .info, .shop, .store, .top, .xyz). The package provides raw and processed datasets (including registrar metadata and transaction summaries by TLD), documentation, and a complete requirements.txt to reproduce all empirical results reported in the article. Each step can be run individually or end-to-end via run_pipeline_optimized.py, which generates the final merged tables (merged_transactions.csv, analysis_dataset.csv) used in the paper. For full usage instructions and parameter details, please see the included README.md.