Pushshift Reddit — 2011-11

A Reddit (Pushshift archive, 2011-11) dataset of 11,030,601 comments and 5,197,924 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 10,961 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-11 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 10,961 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

#Comment tree#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 11,030,601 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

11M
Nodes
5.2M
Edges
4.00e-08
Density
5.8M
Components
0.01558
Assortativity
0.0%
Reciprocity
5.2M
Bridges
Most central nodes
c2zjitu5e-05
c2wszfk2e-05
c2wfxtf2e-05
c33pbgr2e-05
c2w971s1e-05
c339z3l1e-05
c3354wx1e-05
c30b6vi1e-05
c3083qx1e-05
c336e6g1e-05
Content metrics

11,030,601 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.67 ± 27.32
min -665max 5.3K
gildedμ 0 ± 0.002
min 0max 2
6.4
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwantwaygoingrightgameactuallygotthingsureworkneedthingsprettybetterdoesnusedidnlotlookprobablypointsaidgreatfindlovebestnewdayyearsfeelshitgodisntrybadlongyearlittleyeahmaybeyeslifethanks
Topic clusters

Topic 0

game
play
like
skyrim
steam
good
damage
gun

Topic 1

government
people
money
law
state
pay
country
vote

Topic 2

god
religion
believe
church
atheist
belief
bible
christian

Topic 3

feel
sex
girl
relationship
like
thing
time
know

Topic 4

team
player
game
tournament
play
season
league
good

Topic 5

eat
water
food
cook
pizza
beer
calorie
add

Topic 6

card
drive
newegg
apple
price
computer
app
cpu

Topic 7

song
music
video
sound
bass
hear
guitar
like

Topic 8

car
bike
lane
speed
drive
mph
road
traffic

Topic 9

good
luck
amazing
beautiful
nice
job
awesome
bro

Topic 10

reddit
post
troll
downvote
comment
subreddit
karma
people

Topic 11

costume
dress
shirt
wear
jean
pant
halloween
coat
Show all 26 topics

Topic 12

year
time
week
day
month
happen
wait
birthday

Topic 13

lesson
class
plan
school
teacher
student
teach
professor

Topic 14

thank
sir
appreciate
advice
sure
awesome
look
confirm

Topic 15

movie
episode
watch
season
character
trek
film
star

Topic 16

upvote
downvote
nope
karma
comment
detect
meme
upvoted

Topic 17

funny
joke
laugh
hilarious
loud
guy
comedian
funniest

Topic 18

fuck
fucking
bitch
cunt
wtf
suck
man
dude

Topic 19

halloween
pumpkin
candy
trick
treat
kid
happy
treating

Topic 20

lens
color
picture
image
photo
look
background
printer

Topic 21

think
question
ask
answer
thought
guess
interesting
right

Topic 22

cat
sexy
girl
face
nipple
hot
breast
kitty

Topic 23

smoke
smoking
cigarette
tobacco
weed
pipe
quit
drunk

Topic 24

woman
rape
man
feminist
gay
male
people
false

Topic 25

yes
right
sure
okay
yup
true
pretty
definitely
Top hashtags
#3232212
#t47
#145
#9136
#9336
#219
#readme17
#310
#07
#46
#auto6
#header5
#include4
#p4
#v4
#53
#s3
#62
#comment2
#gid2

Sampled: text metrics from 50K of 10.6M 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-2011-11
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
11,030,601
Nodes
11,030,601
Edges
5,197,924
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2011-11 (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, 1.2 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 — 2011-11 [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 — 2011-11. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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