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.

#Follower graph#Influence propagation

Download data BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

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.

41.7M
Nodes
1.5B
Edges
8.50e-07
Density
1
Components
-0.03575
Assortativity
36.2%
Reciprocity
1.2K
Bridges
Most central nodes
215132990.01849
239339890.01214
239339860.01197
239372130.00979
239340480.00975
239341310.00887
239340730.0068
239341230.00632
239340330.00344
215150050.00338

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

7.2K
citations
highly cited
608
influential citations
8% of all citations

Cited by

Show all 10

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.

BibTeX · RIS · CSL-JSON

Similar datasets 6