Stack Exchange — interpersonal.stackexchange.com

The content of interpersonal.stackexchange.com (https://interpersonal.stackexchange.com/), a Stack Exchange question-and-answer site, as published in the Stack Exchange Data Dump of April 2024 on the Internet Archive. The posts table holds 53,932 rows: 18,766 posts (3,929 questions, 14,381 answers, 225 tag wiki excerpts, 225 tag wikis, 5 posts of type 6 and 1 post of type 7) and 35,166 comments, written between 27 June 2017 and 30 March 2024. Beside it are 31,468 user accounts, 302,950 votes, 61,278 badges awarded, 278 tags, 58,591 post revisions and 901 links between posts. Every answer keeps the question it answers and every comment the post it was written on, so the threads can be rebuilt. The Internet Archive item describes the dump as anonymised; the votes table names the voter in only 104 rows.

#Expertise network#Interpersonal skill#Reputation#Stack exchange data dump

Download data package README Original files as received BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 4,538 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

4.5K
Nodes
11.5K
Edges
5.57e-04
Density
36
Components
-0.1109
Assortativity
1.5%
Reciprocity
2.1K
Bridges
Most central nodes
15990.0346
210670.02777
26250.02557
490.02072
31710.01807
40840.01763
3810.01719
590.01719
121010.01631
20120.01565
Content metrics

53,932 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

x scoreμ 5.395 ± 15.319
min -11max 441
x view countμ 6.2K ± 12.9K
min 66max 302.7K
x answer countμ 3.661 ± 3.323
min 0max 24
x comment countμ 1.874 ± 2.834
min 0max 28
8.5
Flesch–Kincaid grade
US school grade level
9.1
Automated readability index
Frequent terms
donlikepeoplewanttimeknowthinkwaypersonquestionfeelthingsgoodaskanswerneedworkhelptellfriendfriendstalkdoesnsituationgoingtryrelationshipproblemconversationpointbetterfindrightthingsaidletaskingsurebestunderstanddidnlotusemaybedifferenthavingactuallyfamilyprobablytrying
Topic clusters

Topic 0

question
answer
edit
thank
interpersonal
ask
topic
ips

Topic 1

people
person
like
think
know
way
feel
conversation

Topic 2

friend
relationship
want
like
feel
know
tell
time

Topic 3

parent
child
mother
family
want
brother
mom
kid

Topic 4

work
job
time
ask
like
company
want
know

Topic 5

roommate
door
landlord
rent
room
live
house
neighbor

Topic 6

culture
english
language
speak
country
people
tag
question

Topic 7

money
gift
pay
want
buy
like
friend
need

Topic 8

food
eat
vegan
restaurant
cook
like
meal
meat
Top hashtags
#1124
#2111
#355
#418
#510
#metoo8
#14975
#64
#84
#29943
#5463
#5473
#general3
#t3
#18722
#32712
#72
#answer2
#comment6254_18582
#criticism2

Computed over the full corpus.

Record

Catalog key
stackexchange-interpersonal-stackexchange-com
Authors
Stack Exchange, Inc.
Year
2024
Source paper
Stack Exchange Data Dump
License
CC BY-SA 3.0 / 4.0 (by contribution date) (CC-BY-SA-3.0 AND CC-BY-SA-4.0)
Records
58,037
Nodes
4,538
Edges
11,478 (directed)
Nodes are
user (Stack Exchange account)
Edges are
answer collaboration (A answered B's question)
Attributes
nodes have attributes; edges have attributes
Text corpus
question titles, post bodies, comment text, tag names
Languages
en
Collected
2017/2024 (2010s, 2020s)
Tasks
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://archive.org/details/stackexchange link checked
Original files as received
The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-10-09, 34.5 MB across 1 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: posts (53,932 rows), users (31,468 rows), x_votes (302,950 rows), x_badges (61,278 rows), x_tags (278 rows), x_post_history (58,591 rows), x_post_links (901 rows).
Structure
Temporal (timestamped), Node attributes, Text, Threaded conversations

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{stackexchange_2024,
  title     = {Stack Exchange Data Dump},
  author    = {{Stack Exchange, Inc.}},
  year      = {2024},
  month     = {apr},
  publisher = {Internet Archive},
  url       = {https://archive.org/details/stackexchange}
}

APA

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

Stack Exchange, Inc. (2024). Stack Exchange — interpersonal.stackexchange.com [Data set]. https://stackexchange-interpersonal.echo.directory/

MLA

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

Stack Exchange, Inc. Stack Exchange — interpersonal.stackexchange.com. 2024, stackexchange-interpersonal.echo.directory/.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →