Twitter Multiple Network Views — international rugby union (UCD)
The rugby dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 854 Twitter accounts, collected in 2012 from curated Twitter lists. International Rugby Union players, clubs and organisations active on Twitter; the ground-truth communities correspond to 15 countries and overlap, because players can be assigned to both their home nation and the nation in which they play club rugby. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 35,757 links; mentions: 33,832 account pairs; retweets: 12,472 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 955,307 entries over 35,352 words; Twitter lists the accounts appear on: 77,023 entries over 5,900 lists; merged list names: 74,589 entries over 2,840 words). The package also holds the 15 ground-truth communities (1,051 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.
Cite this dataset at
ucd-multiview-rugby.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-rugby- 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
- 854
- Nodes
- 854
- Edges
- 44,507 (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
- Node classification (multi-class;
community_label) inferred, Community detection (ground truth;community_label) inferred
From the graph: link prediction - 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, 26.7 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 (854 rows), edges (164,122 rows), items (44,092 rows), interactions (1,106,919 rows), communities (15 rows), memberships (1,051 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 — international rugby union (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 — international rugby union (UCD). 2013, doi.org/10.1145/2464464.2464471.