Social network graphs are central to graph learning research, serving as standard benchmarks for algorithm evaluation.
However, existing datasets focus mainly on mainstream social media platforms whose structures are shaped notably by algorithmic recommendations.
This raises an important question: would alternative, decentralized social networks exhibit different properties?
We address this by studying the Fediverse; a collection of decentralized social networks (such… See the full description on the dataset page:
https://huggingface.co/datasets/MarcDamie/Fedivertex.
