Fedivertex: peertube follow
A Fediverse (peertube, follow graph) dataset of 2,356 nodes, 88,587 edges (62 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains directed edges representing following relationships between Peertube instances. The dataset is notable for its directed graph showing follower relationships between instances, specifically for the Peertube platform's follow network. Intended for research into video content discovery, creator-audience relationships, and media sharing network analysis.
Cite this dataset at
fedivertex-peertube-follow.echo.directory
Analytics
The full graph has 2,356 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Computed over the full corpus.
Record
- Catalog key
fedivertex-peertube-follow- Authors
- Damie, Marc; Cyffers, Edwige
- Year
- 2026
- Source paper
- Fedivertex: a Graph Dataset based on Decentralized Social Media
- DOI / arXiv
- 10.48550/arXiv.2505.20882
- License
- CC BY-NC-SA 4.0 (CC-BY-NC-SA-4.0)
- Records
- 2,356
- Nodes
- 2,356
- Edges
- 88,587 (directed)
- Nodes are
- instance
- Edges are
- follow
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- en
- Collected
- 20250203 to 20260413 (2020s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://huggingface.co/datasets/MarcDamie/Fedivertex link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 63.6 MB across 124 files. Checksums in MANIFEST.json.
Citations
Fedivertex: a Graph Dataset based on Decentralized Social Networks for Trustworthy Machine Learning
Marc Damie, Edwige Cyffers
Journal Article · arXiv.org · 2025
Cited by
- Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
A. Bellet, Edwige Cyffers et al. · arXiv.org · 2025 · cited 3×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{10.1145/3774904.3792868,
author = {Damie, Marc and Cyffers, Edwige},
title = {{Fedivertex: a Graph Dataset based on Decentralized Social Media}},
year = {2026},
isbn = {9798400723070},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3774904.3792868},
doi = {10.1145/3774904.3792868},
booktitle = {Proceedings of the ACM Web Conference 2026},
pages = {8393--8396},
numpages = {4},
location = {United Arab Emirates},
series = {WWW '26}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Damie, M., & Cyffers, E. (2026). Fedivertex: peertube follow [Data set]. https://doi.org/10.48550/arXiv.2505.20882
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Damie, Marc, and Edwige Cyffers. Fedivertex: peertube follow. 2026, doi.org/10.48550/arXiv.2505.20882.