MUSAE Twitch Social Networks (Cumulative)
A Twitch.tv (live streaming platform) dataset of 34,118 users and 214,556 undirected friendship edges across 6 language communities (DE, ENGB, ES, FR, PTBR, RU) merged into one cumulative graph, collected by Rozemberczki et al. via Twitch API, distributed via MUSAE/SNAP. Each record contains undirected friendship edges between Twitch streamers within each language community; node IDs namespaced by language to avoid collision across subgraphs. The dataset is notable for its multilingual streaming platform social network covering 6 distinct language communities, enabling cross-community structural comparison and multilingual graph embedding research. Intended for research into community detection, graph embedding, node classification, cross-platform social network analysis, and multilingual network comparison.
Cite this dataset at
musae-twitch.echo.directory
Analytics
The full graph has 34,118 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
musae-twitch- Authors
- Rozemberczki, Benedek; Allen, Carl; Sarkar, Rik
- Year
- 2021
- Source paper
- Multi-scale Attributed Node Embedding
- DOI / arXiv
- 10.1093/comnet/cnab014
- License
- GNU GPL 3.0 (GPL-3.0-only)
- Records
- 34,118
- Nodes
- 34,118
- Edges
- 214,556
- Nodes are
- user
- Edges are
- friendship
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- de, en, es, fr, pt, ru
- Collected
- ~2018-2020 (2010s, 2020s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://snap.stanford.edu/data/twitch-social-networks.html link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 47.0 MB across 61 files. Checksums in MANIFEST.json.
Citations
Multi-scale Attributed Node Embedding
Benedek Rozemberczki, Carl Allen, Rik Sarkar
Journal Article · J. Complex Networks · 2019
Cited by
- Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
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Li Sun, Zhen-Hao Huang et al. · The Web Conference · 2025 · cited 52× - Non-Homophilic Graph Pre-Training and Prompt Learning
Xing-Xing Yu, Jie Zhang et al. · Knowledge Discovery and Data Mining · 2024 · cited 48× - Fully-inductive Node Classification on Arbitrary Graphs
Jia-Nan Zhao, Zhaocheng Zhu et al. · International Conference on Learning Representations · 2024 · cited 44×
Show all 10
- PaCEr: Network Embedding From Positional to Structural
Yu-Chen Yan, Yongyi Hu et al. · The Web Conference · 2024 · cited 37× - A Survey of Graph Transformers: Architectures, Theories and Applications
Chaohao Yuan, Kangfei Zhao et al. · ACM Computing Surveys · 2025 · cited 35× - Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
Yun-Tao Shou, Hao Lan et al. · Neural Networks · 2024 · cited 32× - Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning
Ying-Jie Zhu, Xue-Feng Bai et al. · Annual Meeting of the Association for Computational Linguistics · 2024 · cited 30× - XGBoost-Enhanced Graph Neural Networks: A New Architecture for Heterogeneous Tabular Data
Liu Yan, Yao-Qun Xu · Applied Sciences · 2024 · cited 28×
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}
}
@article{rozemberczki2021multi,
title = {Multi-scale Attributed Node Embedding},
author = {Rozemberczki, Benedek and Allen, Carl and Sarkar, Rik},
journal = {Journal of Complex Networks},
volume = {9},
number = {2},
year = {2021},
publisher = {Oxford University Press},
doi = {10.1093/comnet/cnab014}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Rozemberczki, B., Allen, C., & Sarkar, R. (2021). MUSAE Twitch Social Networks (Cumulative) [Data set]. https://doi.org/10.1093/comnet/cnab014
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Rozemberczki, Benedek, et al. MUSAE Twitch Social Networks (Cumulative). 2021, doi.org/10.1093/comnet/cnab014.