Twitter 2010 Follower Network
The Twitter follower graph crawled in 2010 by Kwak, Lee, Park and Moon, as the Laboratory for Web Algorithms (LAW) of the University of Milan publishes it as twitter-2010: 1,468,365,182 arcs among 41,652,230 accounts, with node numbers renumbered contiguously from 0 and a table that maps each node number back to the numeric Twitter user ID. LAW defines an arc from x to y as 'y is a follower of x'.
Cite this dataset at
twitter-follower-network-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 — networkx's degree assortativity (Pearson correlation of the degrees at the two ends of every edge; directed: out-degree of the source against in-degree of the target), computed with DuckDB Bridge bottleneck count: sampled — computed exactly on the 9992-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
- Original files as received
- The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-11-03, 5.4 GB across 2 files. Checksums in MANIFEST.json. For use, start with the data package below.
- Data package
- Version 1.0.0 of this dataset as an ECHO Data Package: edges (1,468,365,182 rows), nodes (41,652,230 rows).
- Structure
- Directed network, Node attributes
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.
