Twitter 2010 Follower Network
A Twitter (2010 snapshot) dataset of 41,652,230 users and 1,468,365,182 directed follower edges, collected by Kwak, Lee, Park & Moon via Twitter API (2010). Each record contains source user ID, follower user ID (edge from i to j means j follows i). Complete snapshot of the Twitter follower graph from 2010 — one of the largest social network datasets ever released publicly, capturing the full follower structure of 41.6M Twitter users with 1.47 billion directed edges.. Suitable for large-scale social network analysis, community detection, influence propagation, graph algorithm benchmarking, Twitter network evolution studies.
Cite this dataset at
twitter-2010.echo.directory
Analytics
The full graph has 41,652,230 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. Degree assortativity: exact — Pearson correlation of total degree over every edge (DuckDB) Bridge bottleneck count: sampled — computed exactly on the 3326-node viewer subgraph (the graph has more than 300,000,000 edges) Connected components: exact — weakly connected components (NetworKit) Density: exact Reciprocity rate: exact (DuckDB) Top 10 centrality hubs: exact — full degree count (DuckDB)
Record
- Catalog key
twitter-2010- Authors
- Kwak, Haewoon; Lee, Changhyun; Park, Hosung; Moon, Sue
- Year
- 2010
- Source paper
- What is Twitter, a Social Network or a News Media?
- DOI / arXiv
- 10.1145/1772690.1772751
- License
- Academic use (SNAP — Stanford Network Analysis Project) (LicenseRef-Research-Only)
- Records
- 41,652,230
- Nodes
- 41,652,230
- Edges
- 1,468,365,182 (directed)
- Nodes are
- user
- Edges are
- follow
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- en
- Collected
- 2010 (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/twitter-2010.html link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 5.1 GB across 1 files. Checksums in MANIFEST.json.
Citations
What is Twitter, a social network or a news media?
Haewoon Kwak, Changhyun Lee, Hosung Park, S. Moon
Journal Article · The Web Conference · 2010
Cited by
- MEMTIS: Efficient Memory Tiering with Dynamic Page Classification and Page Size Determination
Taehyung Lee, S. Monga et al. · Symposium on Operating Systems Principles · 2023 · cited 145× - A comprehensive survey on machine learning approaches for fake news detection
Jawaher Alghamdi, Suhuai Luo et al. · Multimedia tools and applications · 2023 · cited 122× - Igraph Enables Fast and Robust Network Analysis across Programming Languages
M. Antonov, G. Csárdi et al. · arXiv.org · 2023 · cited 91× - Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study
Ujun Jeong, Paras Sheth et al. · International Conference on Web and Social Media · 2023 · cited 64× - Toxic Bias: Perspective API Misreads German as More Toxic
Gianluca Nogara, F. Pierri et al. · International Conference on Web and Social Media · 2023 · cited 55×
Show all 10
- DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU
Xin Zhang, Yanyan Shen et al. · Proc. ACM Manag. Data · 2023 · cited 52× - Markov-Driven Graph Convolutional Networks for Social Spammer Detection
Leyan Deng, Chenwang Wu et al. · IEEE Transactions on Knowledge and Data Engineering · 2023 · cited 46× - Impact of digital transformation on SME’s marketing performance: role of social media and market turbulence
M. Amin, Madiha Gohar et al. · Discover Sustainability · 2025 · cited 43× - M5: Mastering Page Migration and Memory Management for CXL-based Tiered Memory Systems
Yan Sun, Jongyul Kim et al. · International Conference on Architectural Support for Programming Languages and Operating Systems · 2025 · cited 43× - GraphCSR: A Degree-Equalized CSR Format for Large-scale Graph Processing
Xin-Biao Gan, Tiejun Li et al. · Proceedings of the VLDB Endowment · 2025 · cited 37×
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{kwak2010twitter,
title = {What is Twitter, a Social Network or a News Media?},
author = {Kwak, Haewoon and Lee, Changhyun and Park, Hosung and Moon, Sue},
booktitle = {Proceedings of the 19th International Conference on World Wide Web},
pages = {591--600},
year = {2010},
doi = {10.1145/1772690.1772751}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Kwak, H., Lee, C., Park, H., & Moon, S. (2010). Twitter 2010 Follower Network [Data set]. https://doi.org/10.1145/1772690.1772751
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Kwak, Haewoon, et al. Twitter 2010 Follower Network. 2010, doi.org/10.1145/1772690.1772751.
