metadata
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 |
@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