christopher/twitch-gamers

Twitch Gamers Social Network

A social network of Twitch users which was collected from the public API in Spring 2018. Nodes are Twitch users and edges are mutual follower relationships between them. The graph forms a single strongly connected component without missing attributes. The machine learning tasks related to the graph are count data regression and node classification. There are 6 specific tasks:

• Explicit content streamer identification.
• Broadcaster language prediction.
• User lifetime estimation.
• Churn prediction.
• Affiliate status identification.
• View count estimation.

https://snap.stanford.edu/data/twitch_gamers.html

Dataset statistics
Directed	No.
Node features	No.
Edge features	No.
Node labels	Yes.
Temporal	No.
Nodes	168,114
Edges	6,797,557
Density	0.0005
Transitvity	0.0184

@misc{rozemberczki2021twitch,
      title={Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings}, 
      author={Benedek Rozemberczki and Rik Sarkar},
      year={2021},
      eprint={2101.03091},
      archivePrefix={arXiv},
      primaryClass={cs.SI}
 }