YouTube

YouTube is a video-sharing platform founded in 2005 and owned by Google since 2006. Users upload, watch, comment on and like videos and subscribe to channels; it is the largest video platform on the web. Website ↗

110 datasets tagged as the platform “YouTube”.

110 datasets.

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YTCommentVerse: Multi-Category YouTube Comment Corpus Analyzed

A YouTube (multi-category comment corpus) dataset of 40,824,926 comments from 20,568,637 unique commenters across 178,027 videos, collected by YTCommentVerse project team via YouTube Data API. Each record contains hashed video ID, hashed commenter channel ID, comment text, vote count, video category (entertainment/gaming/news/music/etc.). YTCommentVerse contains 40,824,926 YouTube comments spanning 25 categories with privacy-preserving hashed identifiers, enabling large-scale multilingual comment analysis. Suitable for YouTube comment analysis, multilingual NLP, engagement research, content moderation, commenter behavior modeling, cross-category platform analysis.

40.8M records20.7M nodes40.8M edges2025

rtGender — All Platforms (Cumulative) Analyzed

A Multiple Platforms dataset of 2,469,836 posts, 26,496,468 responses across 5 platforms, collected by Peixian and Zhang. Each record contains platform, posts, responses, op_gender, responder_gender, sentiment, relevance. Cumulative rtGender dataset combining all platforms for cross-platform gender analysis. Suitable for cross-platform gender analysis, sentiment comparison, response prediction.

29M records21.8M nodes23.9M edges2018

YouTube Snapshot 0222 Analyzed

A YouTube dataset of 743,569 videos, 14,338,803 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 0222 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.

3.8M records3.8M nodes14.3M edges2008

YouTube Social Network Growth Analyzed

A YouTube (user social network growth over time) dataset of 3,223,585 nodes and 9,375,374 edges, collected by A. Mislove et al. via YouTube API. Each record contains directed: False, weighted: True, temporal: True. Temporal undirected YouTube friendship network showing how the social graph grew over time — 9.4M edges with Unix timestamps.. Suitable for temporal network analysis, social network growth modeling, YouTube social dynamics.

3.2M records3.2M nodes9.4M edges2009

YouTube User Network (2008) Analyzed

A YouTube dataset of 2,139,109 users with 38,047,355 uploads and 40,088,341 friend relationships, collected by Cheng et al. via YouTube API (2007-2008). Each record contains user ID, number of uploaded videos, number of friends/subscriptions. YouTube user network from 2008 capturing user activity and friendship patterns during the platform's early growth period. Suitable for social network analysis, user behavior analysis, influencer identification, community detection.

2.1M records2.1M nodes2008

Wish 107.5 YouTube Comments Dataset Analyzed

A YouTube dataset of 2,004,605 comments from 635 videos, collected by Bwan Wando via YouTube API. Each record contains comment text, like count, reply count, video ID, timestamp, anonymized author ID. A large-scale dataset of 2M+ comments from the Wish 107.5 YouTube channel, a popular Philippine FM radio station known for its live music performances. Suitable for sentiment analysis, topic modeling, fan engagement, cultural studies, natural language processing.

2M records2024

YouTube Snapshot 080327 Analyzed

A YouTube dataset of 309,314 videos, 4,444,600 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 080327 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.

1.8M records1.8M nodes4.4M edges2008

YouTube Snapshot 0410 Analyzed

A YouTube dataset of 202,320 videos, 3,916,266 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 0410 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.

1.6M records1.6M nodes3.9M edges2008

YouTube Snapshot 080329 Analyzed

A YouTube dataset of 186,484 videos, 2,598,034 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 080329 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.

1.2M records1.2M nodes2.6M edges2008

YouTube Snapshot 0301 Analyzed

A YouTube dataset of 154,817 videos, 2,969,826 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 0301 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.

1.2M records1.2M nodes3M edges2008

YouTube (v2) Friendship Network Analyzed

A YouTube (friendship network) dataset of 1,138,499 users and 2,990,443 friendship edges, collected by Tang & Liu via YouTube crawl (2009). Each record contains user-user friendship edges, group memberships (47 groups), and user IDs. The dataset is notable for its classic social network dataset with explicit group memberships, used as a benchmark for latent social dimensions and collective behavior learning. Intended for research into social network analysis, community detection, group membership prediction, and relational learning in social media.

1.1M records1.1M nodes3M edges2009

YouTube Social Network Analyzed

A YouTube (friendship network) dataset of 1,134,890 nodes and 2,987,624 edges, collected by Mislove et al. via YouTube crawl (2007). Each record contains user-user friendship edges and user-defined group communities. The dataset is notable for its large-scale YouTube friendship network with ground-truth communities. Intended for research into community detection, social network analysis, and group membership prediction.

1.1M records1.1M nodes3M edges2007

YouTube User Network (2007) Analyzed

A YouTube dataset of 1,062,308 users with 11,757,702 uploads and 773,531,437 friend relationships, collected by Cheng et al. via YouTube API (2007-2008). Each record contains user ID, number of uploaded videos, number of friends/subscriptions, subscribers. YouTube user network from 2007 capturing user activity and friendship patterns during the platform's early growth period. Suitable for social network analysis, user behavior analysis, influencer identification, community detection.

1.1M records1.1M nodes2008

YouTube Snapshot 0420 Analyzed

A YouTube dataset of 111,860 videos, 2,179,497 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 0420 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.

1.1M records1.1M nodes2.2M edges2008

YouTube Snapshot 080404 Analyzed

A YouTube dataset of 155,060 videos, 2,171,719 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 080404 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.

1.1M records1.1M nodes2.2M edges2008

YouTube Snapshot 080331 Analyzed

A YouTube dataset of 149,933 videos, 2,057,770 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 080331 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.

999K records999K nodes2.1M edges2008

YouTube Snapshot 0313 Analyzed

A YouTube dataset of 117,752 videos, 2,254,098 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 0313 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.

983.1K records983.1K nodes2.3M edges2008

YouTube Snapshot 080402 Analyzed

A YouTube dataset of 154,228 videos, 2,025,178 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 080402 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.

975.5K records975.5K nodes2M edges2008

YouTube Snapshot 0329 Analyzed

A YouTube dataset of 103,162 videos, 1,993,886 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 0329 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.

919.1K records919.1K nodes2M edges2008

YouTube Snapshot 080422 Analyzed

A YouTube dataset of 133,611 videos, 1,735,389 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 080422 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.

893K records893K nodes1.7M edges2008

YouTube Snapshot 0418 Analyzed

A YouTube dataset of 91,638 videos, 1,784,291 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 0418 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.

889.1K records889.1K nodes1.8M edges2008

YouTube Snapshot 0403 Analyzed

A YouTube dataset of 101,346 videos, 1,938,311 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 0403 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.

883.4K records883.4K nodes1.9M edges2008

YouTube Snapshot 080408 Analyzed

A YouTube dataset of 133,073 videos, 1,757,884 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 080408 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.

877K records877K nodes1.8M edges2008

YouTube Snapshot 0422 Analyzed

A YouTube dataset of 88,823 videos, 1,733,223 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 0422 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.

867.9K records867.9K nodes1.7M edges2008

YouTube Snapshot 0430 Analyzed

A YouTube dataset of 84,512 videos, 1,646,352 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 0430 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.

864.1K records864.1K nodes1.6M edges2008

YouTube Snapshot 080406 Analyzed

A YouTube dataset of 128,359 videos, 1,683,286 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 080406 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.

843.5K records843.5K nodes1.7M edges2008

YouTube Snapshot 080412 Analyzed

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.

842.8K records842.8K nodes1.7M edges2008

YouTube Snapshot 0424 Analyzed

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.

790.5K records790.5K nodes1.5M edges2008

YouTube Snapshot 080418 Analyzed

A YouTube dataset of 114,041 videos, 1,554,267 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 080418 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.

777.5K records777.5K nodes1.6M edges2008

YouTube Snapshot 0413 Analyzed

A YouTube dataset of 83,135 videos, 1,607,219 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 0413 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.

772.6K records772.6K nodes1.6M edges2008

YouTube Snapshot 0428 Analyzed

A YouTube dataset of 71,715 videos, 1,397,970 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 0428 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.

743K records743K nodes1.4M edges2008

YouTube Snapshot 080424 Analyzed

A YouTube dataset of 110,122 videos, 1,392,317 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 080424 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.

735.1K records735.1K nodes1.4M edges2008

YouTube Snapshot 080430 Analyzed

A YouTube dataset of 102,847 videos, 1,325,498 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 080430 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.

701.9K records701.9K nodes1.3M edges2008

YouTube Snapshot 0511 Analyzed

A YouTube dataset of 66,482 videos, 1,297,320 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 0511 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.

700.9K records700.9K nodes1.3M edges2008

YouTube Snapshot 0509 Analyzed

A YouTube dataset of 67,866 videos, 1,323,192 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 0509 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.

700.4K records700.4K nodes1.3M edges2008

YouTube Snapshot 080416 Analyzed

A YouTube dataset of 101,151 videos, 1,368,584 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 080416 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.

694.9K records694.9K nodes1.4M edges2008

YouTube Snapshot 0513 Analyzed

A YouTube dataset of 67,280 videos, 1,315,004 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 0513 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.

691.8K records691.8K nodes1.3M edges2008

YouTube Snapshot 080506 Analyzed

A YouTube dataset of 99,064 videos, 1,275,576 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 080506 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.

680K records680K nodes1.3M edges2008

YouTube Snapshot 0426 Analyzed

A YouTube dataset of 62,783 videos, 1,226,091 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 0426 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.

656.5K records656.5K nodes1.2M edges2008

YouTube Snapshot 0507 Analyzed

A YouTube dataset of 62,190 videos, 1,217,780 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 0507 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.

647K records647K nodes1.2M edges2008

YouTube Snapshot 0314 Analyzed

A YouTube dataset of 71,077 videos, 1,330,130 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 0314 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.

640.6K records640.6K nodes1.3M edges2008

YouTube Snapshot 0309 Analyzed

A YouTube dataset of 76,128 videos, 1,458,754 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 0309 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.

640.6K records640.6K nodes1.5M edges2008

YouTube Snapshot 0505 Analyzed

A YouTube dataset of 62,101 videos, 1,212,590 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 0505 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.

640K records640K nodes1.2M edges2008

YouTube Snapshot 080502 Analyzed

A YouTube dataset of 96,553 videos, 1,235,773 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 080502 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.

628.8K records628.8K nodes1.2M edges2008

YouTube Snapshot 080512 Analyzed

A YouTube dataset of 91,149 videos, 1,146,505 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 080512 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.

621.8K records621.8K nodes1.1M edges2008

YouTube Snapshot 080518 Analyzed

A YouTube dataset of 90,231 videos, 1,123,656 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 080518 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.

617.4K records617.4K nodes1.1M edges2008

YouTube Snapshot 080516 Analyzed

A YouTube dataset of 88,177 videos, 1,178,568 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 080516 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.

617.2K records617.2K nodes1.2M edges2008

YouTube Snapshot 080510 Analyzed

A YouTube dataset of 85,008 videos, 1,111,027 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 080510 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.

599K records599K nodes1.1M edges2008

YouTube Snapshot 080414 Analyzed

A YouTube dataset of 86,605 videos, 1,173,848 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 080414 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.

597.8K records597.8K nodes1.2M edges2008

YouTube Snapshot 080514 Analyzed

A YouTube dataset of 89,701 videos, 1,106,652 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 080514 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.

592.3K records592.3K nodes1.1M edges2008