A Reddit (Pushshift archive, 2012-11) dataset of 20,534,736 comments and 10,197,262 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 20,729 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-11 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 20,729 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2012-07) dataset of 19,867,939 comments and 9,756,848 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 18,154 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-07 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 18,154 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2012-09) dataset of 19,423,345 comments and 9,540,163 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 19,818 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-09 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 19,818 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2012-06) dataset of 18,042,753 comments and 8,916,683 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 17,094 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-06 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 17,094 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2012-05) dataset of 16,781,749 comments and 8,218,961 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 16,175 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-05 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 16,175 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2012-04) dataset of 15,640,119 comments and 7,555,345 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 15,625 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2012-04 — full comment text, reply graph, and engagement metrics across 15,625 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Reddit (Pushshift archive, 2012-03) dataset of 14,617,849 comments and 7,010,480 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 15,047 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-03 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 15,047 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Facebook Congress dataset of 548,341 posts, 13,866,507 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Facebook Congress — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
A Reddit (Pushshift archive, 2012-01) dataset of 13,280,664 comments and 6,321,745 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 13,607 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 13,607 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2012-02) dataset of 13,041,429 comments and 6,164,917 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 14,220 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-02 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 14,220 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Stack Exchange (math.stackexchange.com) dataset of 318,785 users, 1,665,884 answer-collaboration edges, 1,641,406 questions, 2,146,413 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from math.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..
A LiveJournal (blogging social network) dataset of 12,404,868 emotion-labeled posts from 115,444 users with 106,577 nodes and 961,392 friendship/follower edges, collected by Jin & Zafarani via LiveJournal API, distributed by Data Lab SU. Each record contains user ID, emotion label (-1=negative/0=neutral/1=positive), timestamp, friendship edges, follower edges, community membership. 12,404,868 LiveJournal posts labeled with trichotomous emotion scores across 115,444 users — uniquely combines social network structure (friendship + follower graphs) with per-post emotion labels and community membership for studying emotion propagation in networks. Suitable for emotion propagation in social networks, community emotion analysis, sentiment diffusion, social influence on emotion, network-based mood modeling.
The wikilink network of the English Wikipedia, as distributed by KONECT (wikipedia_link_en), built from the Wikimedia dumps: 12,150,976 articles and 378,142,420 directed links between them, where a link from A to B means article A links to article B (article namespace only; 40,018 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 13,593,032 articles and 437,217,424 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian); at this size the analytics are computed on disk (Kuzu), with assortativity and bridges sampled. Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
A MADOC (Reddit, technology) dataset of 611,131 users and 2,052,369 reply edges from 11,766,082 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.
A Reddit (Pushshift archive, 2011-12) dataset of 11,693,903 comments and 5,522,479 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 11,730 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2011-12 — full comment text, reply graph, and engagement metrics across 11,730 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
Orkut users and the groups they joined, as distributed by KONECT (orkut-groupmemberships), from the crawl of Mislove et al. (2007): a bipartite network linking 2.8 million users to the 8.7 million Orkut groups they belonged to, with some 327 million memberships. Orkut was Google's social network, active 2004–2014. Useful for large-scale community detection, affiliation-network analysis and the structure of online groups.
A Twitter dataset of 11,316,811 users and 85,331,843 directed follower/followee edges, collected by Zafarani and Liu at Syracuse University Data Lab. Each record contains directed edges from follower to followee; bare integer node IDs (anonymized users). one of the largest publicly available Twitter follower networks, with 85M directed edges enabling large-scale social network analysis at the full platform scale. Suitable for large-scale network analysis, influence propagation, community detection, centrality computation, and information diffusion modeling.
A Reddit (Pushshift archive, 2011-11) dataset of 11,030,601 comments and 5,197,924 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 10,961 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-11 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 10,961 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2011-10) dataset of 10,874,106 comments and 5,044,112 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 10,358 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-10 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 10,358 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Facebook Wiki dataset of 149,448 posts, 10,667,500 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Facebook Wiki — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
A Reddit (Pushshift archive, 2011-08) dataset of 9,873,132 comments and 4,595,585 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 9,225 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-08 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 9,225 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2011-09) dataset of 9,808,117 comments and 4,569,421 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 9,784 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-09 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 9,784 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
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.
A Reddit (Pushshift archive, 2011-06) dataset of 4,709,369 comments and 3,659,449 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 7,102 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2011-06 — full comment text, reply graph, and engagement metrics across 7,102 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Reddit (Pushshift archive, 2011-05) dataset of 7,011,857 comments and 3,248,561 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 6,491 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-05 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 6,491 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A MADOC (Reddit, KotakuInAction) dataset of 83,581 users and 1,758,653 reply edges from 6,793,795 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.
A MADOC (Reddit, CringeAnarchy) dataset of 202,705 users and 1,864,741 reply edges from 6,445,396 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.
A Reddit dataset of 6,252,711 posts and comments, 6,279 AITA submissions, 6,239,711 nodes, 6,133,386 reply edges, collected by Zenodo contributor via Reddit API, September–October 2023. Each record contains post/comment id, reply graph (parent_id), title, VADER sentiment, readability (Fog + FK-GL), 10 emotion lexicon scores (anticipation, disgust, fear, joy, sadness, surprise, trust, anger, positive, negative), valence/arousal/dominance. 2M+ r/AmITheAsshole posts and comments with pre-computed emotion lexicon scores, readability metrics, and VADER sentiment across multiple time windows (all-time, monthly, weekly, yearly); includes full reply graph structure.. Suitable for Emotion dynamics in online moral judgment, reply network analysis, readability and engagement research, temporal thread growth modeling..
A Scored.co (c/GreatAwakening) dataset of 499,023 submissions and 5,662,346 comments from 15,594 unique authors in c/GreatAwakening (2020-2023), collected by iDRAMA Lab via Scored.co API (2024). Each record contains post/comment text, author, score up/down, NSFW/deleted/twitter-crosspost flags, date, UUID. c/GreatAwakening on Scored.co — QAnon conspiracy community, migrated from Reddit r/greatawakening. 6,161,369 total posts from 15,594 authors over 4 years. Suitable for deplatforming research, community behavior analysis, alternative platform discourse, content moderation effects, longitudinal community evolution.
A Reddit (Pushshift archive, 2011-04) dataset of 6,000,632 comments and 2,745,074 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 5,839 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-04 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 5,839 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2011-03) dataset of 3,603,143 comments and 2,792,355 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 5,214 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2011-03 — full comment text, reply graph, and engagement metrics across 5,214 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Friendster (social network) dataset of 5,689,498 users and 14,067,887 friendship edges, collected by Booher via Friendster crawl (Nov 2010). Each record contains user-user friendship edges. classic social network dataset with 14M edges, representing one of the early major social networking platforms. Suitable for social network analysis, community detection, and friendship prediction.
A DBLP Computer Science Bibliography dataset of 5,425,963 nodes and 8,649,016 edges, collected by KONECT via DBLP database. Each record contains directed: False, weighted: False. Large bipartite network linking 1.4M authors to 4M papers in DBLP — one of the largest academic bipartite networks available.. Suitable for academic collaboration analysis, authorship networks, bipartite graph research.
A Delicious social bookmarking platform (user-tag network) dataset of 5,345,180 nodes and 81,989,133 edges, collected by KONECT via Delicious API. Each record contains directed: False, weighted: True, temporal: True. Massive temporal bipartite network of Delicious users and tags they used — 301M edges across 5.3M users and tags with Unix timestamps.. Suitable for social tagging analysis, folksonomy research, large-scale bipartite networks.
A Reddit (Pushshift archive, 2011-01) dataset of 5,233,905 comments and 2,417,135 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 4,899 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 4,899 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
The five Twitter multiplex event networks (Cannes 2013, MLK Day 2013, Moscow Athletics 2013, NY Climate March 2014, Obama in Israel 2013) side by side in one graph: 3,238,746 users and 5,175,900 weighted retweet, mention and reply edges. Each release numbers its users independently, so node IDs are event:user and no account is linked across events. Suitable for multiplex network analysis and comparing information spreading across events.
A Reddit (Pushshift archive, 2011-02) dataset of 5,053,654 comments and 2,351,138 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 4,938 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-02 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 4,938 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A LiveJournal (blogging and social network platform) dataset of 4,846,609 nodes and 68,475,391 edges, collected by J. Leskovec et al. via LiveJournal API. Each record contains directed: True, weighted: False, temporal: False. Large directed LiveJournal friendship network with 4.3M users and 69M edges — one of the largest social network datasets from the Web 2.0 era.. Suitable for large-scale social network analysis, community detection, information diffusion.
A Reddit (Pushshift archive, 2010-12) dataset of 2,794,883 comments and 2,143,243 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 4,420 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-12 — full comment text, reply graph, and engagement metrics across 4,420 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Reddit (Pushshift archive, 2010-11) dataset of 4,487,798 comments and 2,060,836 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 4,131 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-11 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 4,131 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A MADOC (Koo, koo) dataset of 124,477 users and 1,121,958 reply edges from 4,263,640 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.
A Wikipedia (English edition, 2013 snapshot) dataset of 4,203,323 article nodes and 101,311,614 directed hyperlink edges, collected by Leskovec et al. via Wikipedia XML dump (SNAP, 2013). Each record contains source article ID, destination article ID (directed hyperlink). Complete English Wikipedia hyperlink graph from a 2013 snapshot — one of the largest hyperlink networks publicly available, capturing the full link structure of 4.2M Wikipedia articles.. Suitable for hyperlink network analysis, graph evolution studies, link prediction, Wikipedia structure research, large-scale directed graph algorithms.
A Twitter (Obama in Israel 2013) dataset of 2,281,259 users, 4,061,960 multiplex edges (retweets, mentions, replies), collected by D. R. G. and D. M.. Each record contains source, target, weight, layer (1=retweet, 2=mention, 3=reply). Multiplex Twitter network during Obama in Israel 2013 with three interaction layers. Suitable for multiplex network analysis, event dynamics, information propagation.
A Reddit (Pushshift archive, 2010-10) dataset of 3,958,154 comments and 1,829,837 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,904 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-10 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,904 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A US Patent and Trademark Office (1963–1999) dataset of 3,774,768 nodes and 16,518,947 edges, collected by B.H. Hall et al.. Each record contains directed: True, weighted: False. Massive directed citation network of 3.7M US patents spanning 1963–1999 — one of the largest citation networks available.. Suitable for citation network analysis, technology diffusion, innovation research.
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.
A Reddit (Pushshift archive, 2010-09) dataset of 3,688,035 comments and 1,702,986 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,789 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-09 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,789 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Stack Exchange (superuser.com) dataset of 299,863 users, 603,996 answer-collaboration edges, 505,136 questions, 732,567 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from superuser.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..
A Amazon.com (product reviews and ratings) dataset of 3,376,972 nodes and 5,743,258 edges, collected by J. McAuley & J. Leskovec via Amazon product pages. Each record contains directed: False, weighted: True, temporal: True. Large bipartite user-product rating network with timestamps and 1-5 star ratings — 5.8M edges across 2.1M users and 1.2M products.. Suitable for recommender systems, rating prediction, bipartite network analysis, e-commerce research.
Moltbook, a social network whose members are autonomous AI agents (Hugging Face jscmp4/Moltbook, 2025): 100,590 agent profiles, 3,352,520 posts and 16,663,266 comments. The graph links agents to the posts and comments they wrote and comments to their posts (20,199,253 nodes, 36,678,988 edges). Suitable for research on AI agent behaviour and social dynamics.
Reddit
Facebook
Stack Exchange
LiveJournal
Wikipedia
Orkut
Twitter (X)
Scored
Friendster
Delicious
Koo
YouTube
Amazon
Moltbook