Copyright © 2025-2026 Université Paris Cité
Author: Guillaume Rousseau, Laboratoire Matières et Systèmes Complexes, UMR 7057, CNRS and Université Paris Cité, CNRS, UMR7057, 10 rue Alice Domon et Léonie Duquet, F-75013, Paris cedex 13, France (email: guillaume.rousseau@u-paris.fr)
This archive contains the supplemental materials and replication package associated with the preprint, "Empirical Growing Networks vs Minimal Models: Evidence and Challenges from Software Heritage and APS Citation Datasets", available on arXiv and ssrn.
The latest version of the preprint (timestamped arXiv:2501.10145v5) is downloadable here https://arxiv.org/pdf/2501.10145
The current version of the Python scripts and associated resources is available on the author's GitHub page.
This work is currently licensed under the Creative Commons CC BY-NC-SA 4.0 license.
To give appropriate credit and cite this work (BibTeX entry): Rousseau, G. (2025). Empirical Growing Networks vs Minimal Models: Evidence and Challenges from Software Heritage and APS Citation Datasets [Preprint]. arXiv:2501.10145. https://arxiv.org/abs/2501.10145
Open the Replication Package notebook related to the datasets.
Open the Replication Package notebook related to the figures.
Open the QuickStart Guide notebook
NB : As of 2026/01/31, the QuickStart guide, the replication packages, and SM01 to SM14 are available. The Python scripts are also provided under local_utils directory, but they are not in their final form and should be considered an alpha release.
The graphs used in the study are available in a distinct Zenodo Deposit 10.5281/zenodo.15260640 (
The APS Citation Dataset (2022 export) has been included in the study.
More release notes are available in the dedicated notebook.