| --- |
| license: mit |
| pretty_name: Twitch Gamers Social Network |
| configs: |
| - config_name: edges |
| data_files: |
| - split: train |
| path: data/edges/* |
| - config_name: features |
| data_files: |
| - split: train |
| path: data/features/* |
| --- |
| |
| # 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 | |
| |
| ```bibtex |
| @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} |
| } |
| ``` |
| |
| ## Dataset Description |
| |
| - **Homepage:** https://github.com/benedekrozemberczki/datasets |
| - **Source**: https://snap.stanford.edu/data/twitch_gamers.html |
| - **Author:** B. Rozemberczki and R. Sarkar |
| - **Created:** 2021 |
|
|
