Twitter Social Network (Syracuse Data Lab)
A Twitter dataset of 11,316,811 users and 85,331,843 directed follower/followee edges, collected by Zafarani and Liu at Syracuse University Data Lab. Each record contains directed edges from follower to followee; bare integer node IDs (anonymized users). one of the largest publicly available Twitter follower networks, with 85M directed edges enabling large-scale social network analysis at the full platform scale. Suitable for large-scale network analysis, influence propagation, community detection, centrality computation, and information diffusion modeling.
Cite this dataset at
twitter-syr.echo.directory
Analytics
The full graph has 11,316,811 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: exact — biconnected components of the undirected graph (NetworKit) 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-syr- Authors
- Zafarani, Reza; Liu, Huan
- Year
- 2026
- Source paper
- Social Computing Data Repository
- License
- Academic Use — see Syracuse Data Lab terms (LicenseRef-Research-Only)
- Records
- 11,316,811
- Nodes
- 11,316,811
- Edges
- 85,331,843 (directed)
- Nodes are
- user
- Edges are
- follow
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- en
- Collected
- 2010-2015 (2010s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://datasets.syr.edu link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 1.3 GB across 3 files. Checksums in MANIFEST.json.
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}
}
@misc{DataLab:SU,
author = {R. Zafarani and H. Liu},
year = {2026},
title = {Social Computing Data Repository},
url = {https://datasets.syr.edu},
institution = {Data Lab, Syracuse University}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Zafarani, R., & Liu, H. (2026). Twitter Social Network (Syracuse Data Lab) [Data set]. https://twitter-syr.echo.directory/
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Zafarani, Reza, and Huan Liu. Twitter Social Network (Syracuse Data Lab). 2026, twitter-syr.echo.directory/.