Twitter Multiple Network Views — London 2012 Olympics (UCD)
The olympics dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 464 Twitter accounts, collected in 2012 from curated Twitter lists. Athletes and organisations involved in the London 2012 Summer Olympics; the ground-truth communities correspond to 28 different sports. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 10,642 links; mentions: 9,615 account pairs; retweets: 3,740 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 515,393 entries over 18,455 words; Twitter lists the accounts appear on: 46,478 entries over 4,942 lists; merged list names: 64,613 entries over 3,097 words). The package also holds the 28 ground-truth communities (464 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.
Cite this dataset at
ucd-multiview-olympics.echo.directory
Analytics
Node size is centrality, colour is community. Hover a node for details; click one to isolate its community.
Record
- Catalog key
ucd-multiview-olympics- Authors
- Greene, Derek; Cunningham, Pádraig
- Year
- 2013
- Source paper
- Producing a Unified Graph Representation from Multiple Social Network Views
- DOI / arXiv
- 10.1145/2464464.2464471
- License
- Non-commercial research use (UCD Machine Learning Group) (LicenseRef-Research-Only)
- Records
- 464
- Nodes
- 464
- Edges
- 13,564 (directed)
- Nodes are
- user
- Edges are
- follows / mentions / retweets (union, with per-view counts)
- Attributes
- nodes have attributes; edges have attributes
- Languages
- en
- Collected
- 2012 (2010s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- http://mlg.ucd.ie/aggregation/ link checked
- Original files as received
- The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-10-21, 14.2 MB across 16 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: nodes (464 rows), edges (47,994 rows), items (26,494 rows), interactions (626,484 rows), communities (28 rows), memberships (464 rows).
- Structure
- Directed network, Weighted network, Multilayer (several networks)
Citations
Producing a unified graph representation from multiple social network views
Derek Greene, P. Cunningham
Journal Article · Web Science Conference · 2013
Cited by
- Community detection in node-attributed social networks: a survey
Petr Chunaev · Computer Science Review · 2019 · cited 285× - Multi-view clustering via multi-manifold regularized non-negative matrix factorization
Lin-Lin Zong, Xianchao Zhang et al. · Neural Networks · 2017 · cited 258× - Down the (White) Rabbit Hole: The Extreme Right and Online Recommender Systems
D. O'Callaghan, Derek Greene et al. · 2015 · cited 175× - Clustering network layers with the strata multilayer stochastic block model
Natalie Stanley, S. Shai et al. · IEEE Transactions on Network Science and Engineering · 2015 · cited 144× - Nonparametric Bayes Modeling of Populations of Networks
Daniele Durante, D. Dunson et al. · 2014 · cited 144×
Show all 10
- Nonnegative Matrix Tri-Factorization with Graph Regularization for Community Detection in Social Networks
Yu-Long Pei, N. Chakraborty et al. · International Joint Conference on Artificial Intelligence · 2015 · cited 139× - Self-Representation Subspace Clustering for Incomplete Multi-view Data
Ji-Yuan Liu, Xin-Wang Liu et al. · ACM Multimedia · 2021 · cited 110× - Spectral and matrix factorization methods for consistent community detection in multi-layer networks
Subhadeep Paul, Yu-Guo Chen · Annals of Statistics · 2017 · cited 110× - Consistent community detection in multi-relational data through restricted multi-layer stochastic blockmodel
Subhadeep Paul, Yu-Guo Chen · 2015 · cited 106× - LATENT SPACE MODELS FOR MULTIVIEW NETWORK DATA
Michael Salter-Townshend, T. McCormick · Annals of Applied Statistics · 2017 · cited 80×
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{greene2013producing,
title = {Producing a Unified Graph Representation from Multiple Social Network Views},
author = {Greene, Derek and Cunningham, P{\'a}draig},
booktitle = {Proceedings of the 5th Annual ACM Web Science Conference (WebSci)},
pages = {118--121},
year = {2013},
doi = {10.1145/2464464.2464471}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Greene, D., & Cunningham, P. (2013). Twitter Multiple Network Views — London 2012 Olympics (UCD) [Data set]. https://doi.org/10.1145/2464464.2464471
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Greene, Derek, and Pádraig Cunningham. Twitter Multiple Network Views — London 2012 Olympics (UCD). 2013, doi.org/10.1145/2464464.2464471.