A Reddit (Pushshift archive, full year 2007) dataset of 573,728 comments across 3 months, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains 35 subreddits, 357,430 reply edges across all months. Annual aggregate of all Pushshift Reddit comments for 2007 — 573,728 comments across 3 months and 35 subreddits.. Suitable for longitudinal Reddit analysis, annual growth trends, subreddit evolution, platform-scale engagement research.
Posts from v/8chan on Voat, from the Voat archive of Mekacher & Papasavva (ICWSM 2022): 5,804 submissions and 630,059 comments with their text, votes and dates. The archive did not recover the author of almost any post in this subverse, so the entry has no user or reply graph. Suitable for studying anonymous posting, topic modelling and moderation.
A Stack Exchange (academia.stackexchange.com) dataset of 29,641 users, 86,788 answer-collaboration edges, 43,792 questions, 103,840 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 academia.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 Reddit (Pushshift archive, 2008-12) dataset of 323,996 comments and 248,080 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 929 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2008-12 — full comment text, reply graph, and engagement metrics across 929 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Stack Exchange (workplace.stackexchange.com) dataset of 27,480 users, 96,149 answer-collaboration edges, 32,002 questions, 110,893 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 workplace.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 Wikipedia (Portuguese edition talk pages) dataset of 541,355 nodes and 1,463,308 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Portuguese talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Stack Exchange (drupal.stackexchange.com) dataset of 24,802 users, 83,917 answer-collaboration edges, 87,691 questions, 114,123 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 drupal.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 Reddit (Pushshift archive, 2008-10) dataset of 303,507 comments and 230,724 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 698 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2008-10 — full comment text, reply graph, and engagement metrics across 698 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Reddit (Pushshift archive, 2008-11) dataset of 303,301 comments and 231,181 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 825 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2008-11 — full comment text, reply graph, and engagement metrics across 825 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Wikipedia (German edition talk pages) dataset of 519,403 nodes and 1,751,343 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia German talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Stack Exchange (rpg.stackexchange.com) dataset of 20,080 users, 84,738 answer-collaboration edges, 49,580 questions, 111,678 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 rpg.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 Wikipedia (Spanish edition talk pages) dataset of 497,446 nodes and 1,250,097 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Spanish talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Stack Exchange (travel.stackexchange.com) dataset of 31,218 users, 61,029 answer-collaboration edges, 48,768 questions, 76,736 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 travel.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 Voat (Reddit alternative, 2013–2020) dataset of 51,082 submissions, 431,297 comments, 34,340 users, 252,920 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/AskVoat, covering its full lifetime on the platform (2013–2020). Includes all 51,082 submissions and 431,297 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Reddit (Pushshift archive, 2008-09) dataset of 261,881 comments and 199,295 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 665 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2008-09 — full comment text, reply graph, and engagement metrics across 665 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Wikipedia (Russian edition talk pages) dataset of 457,017 nodes and 919,790 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Russian talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Instagram (beauty influencers) dataset of 436,843 posts from beauty influencers, collected by Seungbae Kim and Jinyoung Han (2020). Each record contains post caption text, like count, comment count, video/ad flags, tagged user count, location presence, image dimensions, timestamp, and influencer follower count. The dataset is notable for its subset of 9.7M-post Instagram influencer dataset covering the beauty category, with rich per-post engagement signals and influencer-level metadata. Intended for research into influencer marketing analysis, engagement prediction, social media content analysis, and sponsorship detection. This package holds the post metadata (one JSON .info file per post) and influencer lists; the post images, which the authors distribute separately on request, are not included.
A Stack Exchange (judaism.stackexchange.com) dataset of 6,537 users, 31,649 answer-collaboration edges, 40,878 questions, 60,873 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 judaism.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 Stack Exchange (gamedev.stackexchange.com) dataset of 29,965 users, 65,238 answer-collaboration edges, 56,729 questions, 81,514 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 gamedev.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 Voat (Reddit alternative, 2013–2020) dataset of 54,170 submissions, 382,422 comments, 11,439 users, 130,857 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/theawakening, covering its full lifetime on the platform (2013–2020). Includes all 54,170 submissions and 382,422 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Reddit dataset of 398,487 comments from NFL subreddits during the 2020 draft, collected by Caio Brighenti via Reddit API (PRAW). Each record contains comment body, team, timestamp, VADER sentiment score, author. A real-time snapshot of NFL fan sentiment during the 2020 draft, capturing reactions to each pick across team subreddits. Suitable for sentiment analysis, sports analytics, social media analysis, fan behavior, natural language processing.
A Reddit (Pushshift archive, 2008-08) dataset of 397,916 comments and 174,362 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 583 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2008-08 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 583 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2008-07) dataset of 390,922 comments and 172,692 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 548 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2008-07 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 548 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2008-06) dataset of 387,630 comments and 173,588 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 431 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2008-06 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 431 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Stack Exchange (money.stackexchange.com) dataset of 24,820 users, 59,888 answer-collaboration edges, 38,860 questions, 72,475 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 money.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 Voat (Reddit alternative, 2013–2020) dataset of 36,749 submissions, 341,207 comments, 16,507 users, 152,119 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/pizzagate, covering its full lifetime on the platform (2013–2020). Includes all 36,749 submissions and 341,207 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Stack Exchange (android.stackexchange.com) dataset of 43,076 users, 56,924 answer-collaboration edges, 58,621 questions, 68,916 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 android.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 Voat (Reddit alternative, 2013–2020) dataset of 46,877 submissions, 365,857 comments, 26,883 users, 193,345 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/funny, covering its full lifetime on the platform (2013–2020). Includes all 46,877 submissions and 365,857 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Reddit (Pushshift archive, 2008-05) dataset of 218,148 comments and 167,545 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 287 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2008-05 — full comment text, reply graph, and engagement metrics across 287 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Stack Exchange (puzzling.stackexchange.com) dataset of 13,533 users, 47,181 answer-collaboration edges, 27,362 questions, 63,997 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 puzzling.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 Stack Exchange (cs.stackexchange.com) dataset of 24,745 users, 45,645 answer-collaboration edges, 48,390 questions, 56,255 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 cs.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 Instagram (interior influencers) dataset of 348,559 posts from interior influencers, collected by Seungbae Kim and Jinyoung Han (2020). Each record contains post caption text, like count, comment count, video/ad flags, tagged user count, location presence, image dimensions, timestamp, and influencer follower count. The dataset is notable for its subset of 9.7M-post Instagram influencer dataset covering the interior category, with rich per-post engagement signals and influencer-level metadata. Intended for research into influencer marketing analysis, engagement prediction, social media content analysis, and sponsorship detection. This package holds the post metadata (one JSON .info file per post) and influencer lists; the post images, which the authors distribute separately on request, are not included.
A Stack Exchange (chemistry.stackexchange.com) dataset of 21,197 users, 43,218 answer-collaboration edges, 44,825 questions, 52,010 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 chemistry.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 Stack Exchange (ux.stackexchange.com) dataset of 25,246 users, 76,178 answer-collaboration edges, 32,718 questions, 84,000 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 ux.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 Instagram (fitness influencers) dataset of 319,414 posts from fitness influencers, collected by Seungbae Kim and Jinyoung Han (2020). Each record contains post caption text, like count, comment count, video/ad flags, tagged user count, location presence, image dimensions, timestamp, and influencer follower count. The dataset is notable for its subset of 9.7M-post Instagram influencer dataset covering the fitness category, with rich per-post engagement signals and influencer-level metadata. Intended for research into influencer marketing analysis, engagement prediction, social media content analysis, and sponsorship detection. This package holds the post metadata (one JSON .info file per post) and influencer lists; the post images, which the authors distribute separately on request, are not included.
A Reddit (Pushshift archive, 2008-03) dataset of 187,499 comments and 143,043 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 259 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2008-03 — full comment text, reply graph, and engagement metrics across 259 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Reddit (Pushshift archive, 2008-04) dataset of 190,522 comments and 146,397 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 263 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2008-04 — full comment text, reply graph, and engagement metrics across 263 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Reddit (Pushshift archive, 2008-01) dataset of 315,422 comments and 147,025 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 117 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2008-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 117 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Amazon dataset of 314,263 QA pairs in Electronics, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Electronics. Suitable for question answering, sentiment analysis, product understanding, conversational AI.
A Voat (Reddit alternative, 2013–2020) dataset of 127,238 submissions, 196,710 comments, 19,786 users, 80,559 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Aggregate of 190 smaller Voat subverses (>100KB each) not covered by individual or thematic cluster entries. Represents the breadth of the platform beyond its headline communities, combining 127,238 submissions and 196,710 comments.. Suitable for platform breadth analysis, long-tail community dynamics, niche community research, social network analysis.
A Stack Exchange (philosophy.stackexchange.com) dataset of 11,828 users, 35,616 answer-collaboration edges, 21,616 questions, 52,057 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 philosophy.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 Reddit (Pushshift archive, 2008-02) dataset of 305,452 comments and 139,599 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 156 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2008-02 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 156 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Voat (Reddit alternative, 2013–2020) dataset of 41,816 submissions, 271,441 comments, 9,111 users, 112,835 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/Niggers, covering its full lifetime on the platform (2013–2020). Includes all 41,816 submissions and 271,441 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Stack Exchange (photo.stackexchange.com) dataset of 20,708 users, 54,925 answer-collaboration edges, 26,937 questions, 66,908 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 photo.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 Stack Exchange (ethereum.stackexchange.com) dataset of 24,906 users, 50,074 answer-collaboration edges, 53,463 questions, 60,747 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 ethereum.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 Stack Exchange (graphicdesign.stackexchange.com) dataset of 30,634 users, 52,810 answer-collaboration edges, 36,449 questions, 64,115 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 graphicdesign.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 Stack Exchange (aviation.stackexchange.com) dataset of 12,428 users, 35,863 answer-collaboration edges, 25,475 questions, 48,309 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 aviation.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 Stack Exchange (raspberrypi.stackexchange.com) dataset of 28,492 users, 41,149 answer-collaboration edges, 37,889 questions, 49,457 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 raspberrypi.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 Stack Exchange (music.stackexchange.com) dataset of 19,321 users, 50,377 answer-collaboration edges, 25,722 questions, 66,722 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 music.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 Stack Exchange (politics.stackexchange.com) dataset of 7,275 users, 26,146 answer-collaboration edges, 17,170 questions, 38,564 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 politics.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..
Reddit
Voat
Stack Exchange
Wikipedia
Instagram
Amazon