Twitter Multiple Network Views — Irish politics (UCD)

The politics-ie dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 348 Twitter accounts, collected in 2012 from curated Twitter lists. Irish politicians and political organisations, assigned to seven disjoint ground-truth groups according to their affiliation. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 16,856 links; mentions: 6,318 account pairs; retweets: 3,019 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 350,175 entries over 14,377 words; Twitter lists the accounts appear on: 15,225 entries over 1,047 lists; merged list names: 25,651 entries over 1,051 words). The package also holds the 7 ground-truth communities (348 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.

Download data package README Original files as received BibTeX JSONSimilar datasets

Analytics

16.9K
Follow links
6.3K
Mention links
3K
Retweet links
7
Communities
The interactive network needs JavaScript.

· graph.json

Node size is centrality, colour is community. Hover a node for details; click one to isolate its community.

348
Nodes
18.5K
Edges
1.53e-01
Density
1
Components
-0.09968
Assortativity
52.8%
Reciprocity
0
Bridges
Most central nodes
195305270.5648
1355142720.5245
180161600.513
67515020.4957
215187220.4669
1189991260.4409
197353290.4409
1201172540.415
214806660.4092
771843600.4035
Content metrics

348 records scored

community labelavg 2.21 / 6
0std 1.766
Users per ground-truth party
fg143
labour79
ff49
ind31
sf31
ula8
green7

Record

Catalog key
ucd-multiview-politicsie
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
348
Nodes
348
Edges
18,524 (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
Ireland · Europe (inferred: named in the description)

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, 9.4 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 (348 rows), edges (52,386 rows), items (16,475 rows), interactions (391,051 rows), communities (7 rows), memberships (348 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

132
citations
well cited
18
influential citations
14% of all citations

Cited by

Show all 10

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 — Irish politics (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 — Irish politics (UCD). 2013, doi.org/10.1145/2464464.2464471.

BibTeX · RIS · CSL-JSON

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