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, normalize, 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 the empirical results of the article as corrected in the accompanying Correction (see below); the original Table 4 cannot be reproduced from this dataset, as documented in the README. 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. Version 1.2 (September 2026) accompanies a Correction to the article submitted to IEEE Access. The pipeline scripts and all data files are unchanged from version 1.1; we repaired test_integration.py so the tests load the step modules instead of placeholder functions (20 of 20 tests pass). We added the list of eight technical IANA registrar IDs excluded in the Correction (excluded_iana_ids.csv), the verification script correction_metrics.py with its output correction_metrics.csv and run log, which recomputes every published figure for the original and corrected population, and the reconciliation script and log for Table 4. The README documents the known issues found during verification.