Wikipedia Requests for Adminship Signed Network

A Wikipedia (online encyclopedia) dataset of 11,377 users and 196,614 directed signed votes (143,879 support, 40,667 oppose, 12,068 neutral) with 189,541 vote rationale texts, collected by West and Leskovec from Wikipedia's public adminship election records spanning 2003–2013, distributed by SNAP. Each record contains directed signed edges from voter to candidate: +1 support, -1 oppose, 0 neutral; election outcome per candidate (0/1); natural language vote rationale text per vote. The dataset is notable for its unique combination of signed network structure with natural language rationale text per edge, enabling joint graph and text analysis; one of the few real-world signed networks with explicit textual justifications for positive and negative links. Intended for research into signed network analysis, trust and reputation modeling, text-attributed graph research, opinion mining, link sign prediction with text features, and community detection in collaborative platforms.

#Admin election#Requests for adminship#Snap#Text attributed graph#Vote rationale

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 11,377 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

11.4K
Nodes
188.1K
Edges
1.45e-03
Density
1
Components
-0.08694
Assortativity
7.4%
Reciprocity
3.7K
Bridges
Most central nodes
Everyking0.06373
TenPoundHammer0.04685
MZMcBride0.04545
Elonka0.04307
Werdna0.04255
Cobi0.04026
Ironholds0.03894
Enigmaman0.03323
Kww0.03288
Majorly0.03121
9.9
Flesch–Kincaid grade
US school grade level
12.9
Automated readability index
Frequent terms
supportopposegoodfontuseradmincandidateworkrfaeditortoolscolorthinkspandonstyleexperiencelikewikipediatimeeditscontributionscontentconcernsstrongneutralanswersgreattalkarticlequestionssmallreasonneedadminsprojectfaceareasseenarticlesanswer1pxusemonthsadminshipeditissuessolidtrustadministrator
Topic clusters

Topic 0

oppose
article
afd
admin
editor
edit
candidate
deletion

Topic 1

admin
support
good
great
administrator
think
adminship
excellent

Topic 2

rfa
oppose
candidate
support
user
time
good
admin

Topic 3

support
stud
microsoft
pro
order
equivocation
verbiage
opport

Topic 4

font
sans
support
calligraphy
oppose
good
family
user

Topic 5

editor
support
good
edit
great
tool
experienced
work

Topic 6

oppose
reason
answer
support
unconvincing
concern
question
sorry

Topic 7

tool
user
trust
support
abuse
king
use
misuse

Topic 8

candidate
support
good
nomination
strong
answer
qualified
like

Topic 9

mop
support
trust
good
reason
span
work
editor

Topic 10

support
answer
question
interaction
clue
trustworthy
experience
good

Topic 11

support
good
work
yes
choice
great
easy
obvious
Show all 19 topics

Topic 12

family
span
weight
bold
georgia
support
text
serif

Topic 13

vandalism
vandal
anti
edit
work
revert
experience
fight

Topic 14

editor
admin
great
good
support
excellent
administrator
tool

Topic 15

wikipedia
support
wikipedian
admin
tool
good
policy
great

Topic 16

block
oppose
log
clean
user
assholery
indication
admin

Topic 17

time
support
think
wait
thought
overdue
long
reason

Topic 18

contribution
review
good
support
answer
base
special
history
Top hashtags
#000000427
#0000ff313
#9966cc211
#7b68ee210
#228b22166
#808080147
#030130
#rfa_standards125
#wp117
#000113
#0f092
#12491
#99990
#4169e188
#9370db88
#cc660075
#168
#8d759
#f1059
#55555557

Sampled: text metrics from 50K of 189.5K records; topic model from 20K.

Record

Catalog key
wiki-rfa
Authors
West, Robert; Leskovec, Jure
Year
2014
Source paper
How Users Weigh Their Options on the Wikipedia Requests for Adminship
DOI / arXiv
10.1145/2566486.2567975
License
Unknown — SNAP public research dataset
Records
189,541
Nodes
11,377
Edges
188,077 (directed)
Nodes are
editor
Edges are
signed vote
Attributes
nodes have no attributes; edges have attributes
Text corpus
vote rationale text
Languages
en
Collected
2003 to 2013 (2000s, 2010s)
Tasks
Edge sign prediction (binary) inferred
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://snap.stanford.edu/data/wiki-RfA.html link checked
Hosted copy
Mirrored on echo.directory on 2026-10-02, 47.8 MB across 1 files. Checksums in MANIFEST.json.

Citations

Comment-based multi-view clustering of web 2.0 items
Xiang-Nan He, Min-Yen Kan, Pei-Chu Xie, Xiao Chen
Book · The Web Conference · 2014

108
citations
well cited
12
influential citations
11% of all citations

Cited by

Show all 10

Citation data from Semantic Scholar, retrieved 2026-10-19.

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{west2014wikipedia,
  title     = {How Users Weigh Their Options on the Wikipedia Requests for Adminship},
  author    = {West, Robert and Leskovec, Jure},
  booktitle = {Proceedings of the 23rd International World Wide Web Conference (WWW)},
  year      = {2014},
  publisher = {ACM},
  doi       = {10.1145/2566486.2567975}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

West, R., & Leskovec, J. (2014). Wikipedia Requests for Adminship Signed Network [Data set]. https://doi.org/10.1145/2566486.2567975

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

West, Robert, and Jure Leskovec. Wikipedia Requests for Adminship Signed Network. 2014, doi.org/10.1145/2566486.2567975.

BibTeX · RIS · CSL-JSON

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