Pushshift Reddit — 2011-07

A Reddit (Pushshift archive, 2011-07) dataset of 8,410,476 comments and 3,877,551 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 7,907 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-07 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 7,907 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 8,410,476 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

8.4M
Nodes
3.9M
Edges
5.00e-08
Density
4.5M
Components
0.03217
Assortativity
0.0%
Reciprocity
3.9M
Bridges
Most central nodes
c25mhn13e-05
c26t0ff2e-05
c28am3c2e-05
c2549mm2e-05
c23uvhp1e-05
c24h21t1e-05
c25ei7k1e-05
c25tegu1e-05
c24umum1e-05
c283mx81e-05
Content metrics

8,410,476 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.13 ± 21.79
min -1.2Kmax 3.1K
gildedμ 0 ± 0.002
min 0max 4
6.4
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinkknowgoodtimewaywantgoingrightworkgotprettyneedthingactuallyusesurethingsdoesnlovedidnbetterlotlookfindgamenewsaidyearsgreatfeelprobablytrydayshitbestpointlittlethanksyesisnbadguythoughtfuckmoneyreadyeah
Topic clusters

Topic 0

game
play
player
like
team
good
want
server

Topic 1

song
music
sound
listen
band
think
like
album

Topic 2

eat
smoke
food
like
good
soup
drink
pizza

Topic 3

look
draw
like
picture
girl
pic
art
drawing

Topic 4

government
tax
state
people
obama
taxis
money
right

Topic 5

upvote
downvote
post
karma
reddit
comment
subreddit
troll

Topic 6

invite
google
email
link
send
facebook
page
post

Topic 7

car
bike
ride
light
drive
engine
road
good

Topic 8

god
atheist
believe
religious
religion
belief
people
think

Topic 9

relationship
woman
feel
like
kid
sex
know
girl

Topic 10

thank
good
sir
remind
nice
watch
man
happy

Topic 11

flush
hand
toilet
wash
foot
bathroom
door
pee
Show all 15 topics

Topic 12

block
piston
door
foot
shoe
cave
redstone
leg

Topic 13

time
day
work
week
weekend
year
july
late

Topic 14

tip
service
pay
customer
manager
restaurant
money
job
Top hashtags
#3232246
#138
#t28
#217
#d16
#w16
#h9
#48
#b8
#f8
#37
#56
#p5
#74
#103
#93
#at3
#comment3
#gid3
#reddit3
Top emoji
𝍀2
𝅂1
🁒1

Sampled: text metrics from 50K of 8.1M 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-2011-07
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
8,410,476
Nodes
8,410,476
Edges
3,877,551
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2011-07 (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, 902.3 MB 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 — 2011-07 [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 — 2011-07. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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