StackExchange SuperUser Interaction Network
A StackExchange SuperUser (technical Q&A community) dataset of 194,085 users and 1,443,339 directed interaction edges, collected by Paranjape, Benson & Leskovec via SNAP (2017). Each record contains source user ID, target user ID, Unix timestamp of interaction. Temporal directed interaction network from SuperUser covering answers, comments on answers, and comments on questions — three types of user interactions collapsed into a single edge list with Unix timestamps.. Suitable for temporal network analysis, Q&A community structure, motif detection, information flow in technical communities.
Cite this dataset at
sx-superuser.echo.directory
Analytics
The full graph has 194,085 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
sx-superuser- Authors
- Paranjape, Ashwin; Benson, Austin R.; Leskovec, Jure
- Year
- 2017
- Source paper
- Motifs in Temporal Networks
- DOI / arXiv
- 10.1145/3018661.3018731
- License
- Academic use (SNAP — Stanford Network Analysis Project) (LicenseRef-Research-Only)
- Records
- 194,085
- Nodes
- 194,085
- Edges
- 924,886 (directed)
- Nodes are
- user
- Edges are
- answer / comment
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- en
- Collected
- 2008-08-02 to 2016-03-06 (2000s, 2010s)
- 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/sx-superuser.html link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 10.7 MB across 1 files. Checksums in MANIFEST.json.
Citations
Motifs in Temporal Networks
Ashwin Paranjape, Austin R. Benson, J. Leskovec
Book · Web Search and Data Mining · 2016
Cited by
- Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Yanbang Wang, Yen-Yu Chang et al. · International Conference on Learning Representations · 2021 · cited 387× - Dynamic Network Embedding Survey
Guotong Xue, Ming Zhong et al. · Neurocomputing · 2021 · cited 205× - Higher-order motif analysis in hypergraphs
Q. F. Lotito, F. Musciotto et al. · Communications Physics · 2021 · cited 172× - Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
Sheng Xiang, Dawei Cheng et al. · International Conference on Information and Knowledge Management · 2022 · cited 153× - A survey of graph neural networks in various learning paradigms: methods, applications, and challenges
Lilapati Waikhom, Ripon Patgiri · Artificial Intelligence Review · 2022 · cited 129×
Show all 10
- A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
ZhengZhao Feng, Rui Wang et al. · IEEE Transactions on Knowledge and Data Engineering · 2024 · cited 97× - Group interactions modulate critical mass dynamics in social convention
Iacopo Iacopini, G. Petri et al. · Communications Physics · 2021 · cited 86× - Co-citation and Co-authorship Networks of Statisticians
Pengsheng Ji, Jia-Shun Jin et al. · Journal of business & economic statistics · 2021 · cited 85× - Higher-order Structure Based Anomaly Detection on Attributed Networks
Xu Yuan, Naqin Zhou et al. · 2021 IEEE International Conference on Big Data (Big Data) · 2021 · cited 81× - Temporal Link Prediction: A Unified Framework, Taxonomy, and Review
Meng Qin, Dit-Yan Yeung · ACM Computing Surveys · 2022 · cited 78×
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}
}
@inproceedings{paranjape2017motifs,
title = {Motifs in Temporal Networks},
author = {Paranjape, Ashwin and Benson, Austin R. and Leskovec, Jure},
booktitle = {Proceedings of the Tenth ACM International Conference on Web Search and Data Mining},
pages = {601--610},
year = {2017},
doi = {10.1145/3018661.3018731}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Paranjape, A., Benson, A. R., & Leskovec, J. (2017). StackExchange SuperUser Interaction Network [Data set]. https://doi.org/10.1145/3018661.3018731
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Paranjape, Ashwin, et al. StackExchange SuperUser Interaction Network. 2017, doi.org/10.1145/3018661.3018731.