YouTube Snapshot 0424
A YouTube dataset of 76,805 videos, 1,495,423 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 0424 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.
Cite this dataset at
youtube-sfu-0424.echo.directory
Analytics
The full graph has 790,493 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Topic 0
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Topic 7
Topic 8
Topic 9
Topic 10
Topic 11
Show all 36 topics
Topic 12
Topic 13
Topic 14
Topic 15
Topic 16
Topic 17
Topic 18
Topic 19
Topic 20
Topic 21
Topic 22
Topic 23
Topic 24
Topic 25
Topic 26
Topic 27
Topic 28
Topic 29
Topic 30
Topic 31
Topic 32
Topic 33
Topic 34
Topic 35
Sampled: text metrics from 50K of 76.8K records; topic model from 20K.
Record
- Catalog key
youtube-sfu-0424- 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
- 790,493
- Nodes
- 790,493
- Edges
- 1,495,423 (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, 11.9 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 0424 [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 0424. 2008, doi.org/10.1109/iwqos.2008.32.