YouTube Snapshot 080412

A YouTube dataset of 123,667 videos, 1,722,879 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 080412 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.

#Network snapshot#Related video#Video graph#Video metadata

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 842,756 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

842.8K
Nodes
1.7M
Edges
2.43e-06
Density
6
Components
-0.03965
Assortativity
19.0%
Reciprocity
575.3K
Bridges
Most central nodes
Ejb8QOyjz-E0.00037
JR43BD6K7jg0.00034
4xL7yveZA_o0.00034
Icv6DgZ-9O40.00029
AABBLmSfnPU0.00028
DggRRCqEiKw0.00026
JrfMb4Y7goE0.00023
YKj5KkA_oaQ0.00023
Ba3N_awXcow0.00022
xe-QP8s1ZJc0.00022
Content metrics

123,667 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

ageμ 901.498 ± 214.969
min 0max 1.2K
lengthμ 213.478 ± 185.425
min 0max 6.7K
viewsμ 29.8K ± 109.1K
min 0max 6.4M
rateavg 4.00 / 5
0std 1.475
ratingsμ 54.511 ± 204.84
min 0max 17.3K
commentsμ 48.45 ± 225.986
min 0max 28.6K
related countμ 13.932 ± 8.831
min 0max 22
25.1
Flesch–Kincaid grade
US school grade level
25.2
Automated readability index
Frequent terms
entertainmentmusicblogspeoplecomedysportsnewspoliticsautosvehiclesanimationfilmstylehowtoeventstraveleducationsciencetechnologyunaanimalspetsactivismnonprofitschine2frhepsidizimondlerclipshagmundpadremagrodejuanpexpertvillagejasonspeaksdiziporterosentertainmentfifthgearukextravaglioo999idvstaffjourneymanpicturesyinebizbizeyizcomlambotractorsubscribetome4morefuldecbspbsbrownprider323dance4fun22elamzlaugabegirl45aifreak08alexlew119
Topic clusters

Topic 0

entertainment
style

Topic 1

comedy
contrendo
absolutevideogame
laughnmotion
drvlog
nalt
stompbat
mbwchampion

Topic 2

entertainment
ptwithcaddy
zeriouslly
nebulax
tallderektoronto
sxephil
sargeantbanana
majkeld

Topic 3

blogs
people
prinele
yinebizbizeyizcom
elsetry
fulleglencom
dbfergus
lcbabieee

Topic 4

vehicles
autos
education
auto
vehicle
rasavonwerder
jasonspeak
qnut

Topic 5

music
lajeva
xxxspxfanxxx
itlvoeazaxrxm
unstoppablesgm
hhdirectonet
wookiielover
metalrakista

Topic 6

sport
sports
crazyncman
flankertanker
telegraphtv
surfriderfoundation
bucknellbison
aarsbal

Topic 7

animation
film
imjustascarecrow
yashimegasc
jeppilino
sacodefrijole
dreamaznangl
mateuszzgodzaj

Topic 8

animation
film
gabebc
vividore
creamypie
blocksavvycom
dulishh
darrenmacdougall

Topic 9

comedy
dadush

Topic 10

people
blogs
synthesismagazine
cgyarring
lowerlearning
darrenmacdougall
theyoukproject
sundroid

Topic 11

news
politics
cornholiohrm
eagleofsouth
veracifier
theyoungturk
cuddlynutbear
charlierose
Show all 20 topics

Topic 12

entertainment
kandykanemel
xll
spsurvivorvideos
underherwheelz
rrden
ukdsc
fulde

Topic 13

music
delfiniibardhe
larealitegothique
emeypesimistanbul
moochanamus
creeingle
totallydionne
materpal

Topic 14

news
politics
nmcf
tnm
superzozor
poptalk
charitywater
puebloplug

Topic 15

travel
events
lonelyplanet
charityis
surfriderfoundation
srovets
jasonspeak
zpunout

Topic 16

sports
sport

Topic 17

music

Topic 18

music

Topic 19

howto
style
tammpon
boxthor
parlayhelp
spindaily
logitech
incidentalheroes

Sampled: text metrics from 50K of 123.7K records; topic model from 20K.

Record

Catalog key
youtube-sfu-080412
Authors
Cheng, Xu; Dale, Cameron; Liu, Jiangchuan
Year
2008
Source paper
Statistics and Social Network of YouTube Videos
DOI / arXiv
10.1109/iwqos.2008.32
License
Academic use only (LicenseRef-Research-Only)
Records
842,756
Nodes
842,756
Edges
1,722,876 (directed)
Nodes are
video
Edges are
related video
Attributes
nodes have no attributes; edges have no attributes
Text corpus
video metadata
Languages
en
Collected
2007-2008 (2000s)
Tasks
Recommendation (ranking) inferred, Rating prediction (regression; rate) inferred
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://netsg.cs.sfu.ca/youtubedata/ link checked
Hosted copy
Mirrored on echo.directory on 2026-10-09, 14.3 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}
}

@inproceedings{cheng2008statistics,
  title        = {Statistics and social network of youtube videos},
  author       = {Cheng, Xu and Dale, Cameron and Liu, Jiangchuan},
  booktitle    = {2008 16th International Workshop on Quality of Service},
  pages        = {229-238},
  year         = {2008},
  organization = {IEEE}
}

APA

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

Cheng, X., Dale, C., & Liu, J. (2008). YouTube Snapshot 080412 [Data set]. https://doi.org/10.1109/iwqos.2008.32

MLA

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

Cheng, Xu, et al. YouTube Snapshot 080412. 2008, doi.org/10.1109/iwqos.2008.32.

BibTeX · RIS · CSL-JSON

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