Pushshift Reddit — 2011-10

A Reddit (Pushshift archive, 2011-10) dataset of 10,874,106 comments and 5,044,112 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 10,358 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-10 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 10,358 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

#Comment tree#Monthly snapshot#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 10,874,106 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

10.9M
Nodes
5M
Edges
4.00e-08
Density
5.8M
Components
-0.00724
Assortativity
0.0%
Reciprocity
5M
Bridges
Most central nodes
c2suddg0.00017
c2tue3x4e-05
c2q3w942e-05
c2qc8p32e-05
c2sfbpj2e-05
c2tttge2e-05
c2o99zx2e-05
c2unf7b2e-05
c2v0jtg1e-05
c2p78pe1e-05
Content metrics

10,874,106 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.525 ± 26.21
min -372max 4.3K
gildedμ 0 ± 0.001
min 0max 3
6.3
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwantwaygoingrightgotthinggameworkneedactuallydoesnprettysurebetterusethingsdidnlovelotlookyearsfindsaidgreatshitmoneypointyesnewfeellittleprobablydaylifetrybadisnmaybemanyeahbestredditguy
Topic clusters

Topic 0

people
bank
think
money
government
like
pay
credit

Topic 1

look
hair
wear
like
hand
girl
cute
pant

Topic 2

upvote
post
downvote
reddit
link
comment
karma
subreddit

Topic 3

eat
water
drink
beer
food
smoke
pizza
cook

Topic 4

game
play
watch
cod
player
starcraft
like
espn

Topic 5

car
drive
bike
live
like
good
look
bus

Topic 6

song
sound
music
album
hear
listen
like
video

Topic 7

school
college
student
class
teacher
think
work
job

Topic 8

fuck
fucking
bitch
feel
bad
sad
faggot
stupid

Topic 9

yes
happen
point
sure
guess
right
float
lucky

Topic 10

game
gun
play
kill
team
build
ammo
range

Topic 11

god
religion
atheist
believe
religious
belief
faith
christian
Show all 13 topics

Topic 12

run
android
windows
phone
app
computer
mac
use
Top hashtags
#3232176
#t35
#131
#216
#313
#46
#54
#64
#p4
#103
#112
#142
#72
#92
#auto2
#bqkwu2
#by2
#occupywallstreet2
#of_items2
#overview2
Top emoji
𝍥2
💗1
😃1

Sampled: text metrics from 50K of 10.5M records; topic model from 20K. Degree assortativity: exact — Pearson correlation of total degree over every edge (DuckDB) Bridge bottleneck count: exact — biconnected components of the undirected graph (NetworKit) Connected components: exact — weakly connected components (NetworKit) Density: exact Reciprocity rate: exact (DuckDB) Top 10 centrality hubs: exact — full degree count (DuckDB)

Record

Catalog key
pushshift-reddit-2011-10
Authors
Baumgartner, Jason; Zannettou, Savvas; Keegan, Brian; Squire, Megan; Blackburn, Jeremy
Year
2020
Source paper
The Pushshift Reddit Dataset
DOI / arXiv
10.1609/icwsm.v14i1.7347
License
Unknown
Records
10,874,106
Nodes
10,874,106
Edges
5,044,112
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2011-10 (2010s)
Tasks
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://files.pushshift.io/reddit/comments/ unverified
Hosted copy
Mirrored on echo.directory on 2026-10-02, 1.1 GB across 1 files. Checksums in MANIFEST.json.

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}
}

@misc{baumgartner2020pushshift,
  title         = {The Pushshift Reddit Dataset},
  author        = {Baumgartner, Jason and Zannettou, Savvas and Keegan, Brian and Squire, Megan and Blackburn, Jeremy},
  year          = {2020},
  eprint        = {2001.08435},
  archiveprefix = {arXiv}
}

APA

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

Baumgartner, J., Zannettou, S., Keegan, B., Squire, M., & Blackburn, J. (2020). Pushshift Reddit — 2011-10 [Data set]. https://doi.org/10.1609/icwsm.v14i1.7347

MLA

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

Baumgartner, Jason, et al. Pushshift Reddit — 2011-10. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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