Twitter 2010: URL Tweets and Follower Graph (Lerman, USC ISI)
Tweets that contain a URL, collected through Twitter search in the second half of September 2010 and the first day of October 2010, with the follower graph among the users who posted them, released by Kristina Lerman (USC Information Sciences Institute) for her studies of how information spreads on Twitter. The package holds 2,859,764 rows linking a URL to a tweet (2,789,194 distinct tweets, 66,064 distinct URLs, 736,930 users), the list of those 736,930 users with their follower and followee counts, and 36,743,448 follower links among them. The tweet text is not part of the release: each row has the tweet ID, the posting user, the time, the posting client, the reply target and the URL.
Cite this dataset at
twitter-url-tweets-2010.echo.directory
Analytics
The full graph has 699,985 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Record
- Catalog key
lerman-twitter-2010- Authors
- Hodas, Nathan O.; Lerman, Kristina
- Year
- 2012
- Source paper
- How Visibility and Divided Attention Constrain Social Contagion
- DOI / arXiv
- 10.1109/SocialCom-PASSAT.2012.129
- License
- Research use only (USC ISI) (LicenseRef-Research-Only)
- Records
- 2,859,764
- Nodes
- 699,985
- Edges
- 36,743,448 (directed)
- Nodes are
- user (internal id)
- Edges are
- follow (follower -> followed)
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- en
- Collected
- 2010-09-20 to 2010-10-01 (2010s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://academictorrents.com/details/d8b3a315172c8d804528762f37fa67db14577cdb link checked
- Original files as received
- The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-10-20, 278.6 MB across 3 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: posts (2,859,764 rows), users (736,930 rows), edges (36,743,448 rows).
- Structure
- Directed network, Temporal (timestamped), Node attributes
Citations
How Visibility and Divided Attention Constrain Social Contagion
Nathan Oken Hodas, Kristina Lerman
Journal Article · 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing · 2012
Cited by
- The spread of low-credibility content by social bots
Chengcheng Shao, Giovanni Luca Ciampaglia et al. · Nature Communications · 2017 · cited 1.3K× - Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data
Pablo Barberá · Political Analysis · 2015 · cited 985× - Measuring Emotional Contagion in Social Media
Emilio Ferrara, Zeya Yang · PLoS ONE · 2015 · cited 525× - Understanding the Political Representativeness of Twitter Users
Pablo Barberá, Gonzalo Rivero · 2015 · cited 361× - The Simple Rules of Social Contagion
Nathan Oken Hodas, Kristina Lerman · Scientific Reports · 2013 · cited 327×
Show all 10
- Binary-state dynamics on complex networks: pair approximation and beyond
J. Gleeson · 2012 · cited 268× - Limited communication capacity unveils strategies for human interaction
G. Miritello, Rubén Lara et al. · Scientific Reports · 2013 · cited 221× - Quantifying Information Overload in Social Media and Its Impact on Social Contagions
M. Gomez-Rodriguez, Krishna P. Gummadi et al. · International Conference on Web and Social Media · 2014 · cited 199× - How algorithmic popularity bias hinders or promotes quality
Giovanni Luca Ciampaglia, Azadeh Nematzadeh et al. · Scientific Reports · 2017 · cited 189× - Complex Contagions: A Decade in Review
Douglas Guilbeault, J. Becker et al. · arXiv.org · 2017 · cited 178×
Citation data from Semantic Scholar, retrieved 2026-10-21.
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{hodas2012visibility,
title = {How Visibility and Divided Attention Constrain Social Contagion},
author = {Hodas, Nathan O. and Lerman, Kristina},
booktitle = {2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Conference on Social Computing},
pages = {249--257},
year = {2012},
doi = {10.1109/SocialCom-PASSAT.2012.129}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Hodas, N. O., & Lerman, K. (2012). Twitter 2010: URL Tweets and Follower Graph (Lerman, USC ISI) [Data set]. https://doi.org/10.1109/SocialCom-PASSAT.2012.129
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Hodas, Nathan O., and Kristina Lerman. Twitter 2010: URL Tweets and Follower Graph (Lerman, USC ISI). 2012, doi.org/10.1109/SocialCom-PASSAT.2012.129.