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 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.
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 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 dataset of 8,035,392 comments across 6 financial subreddits, 2008–2020, collected by Zenodo contributor via Pushshift Reddit API. Each record contains body text, subreddit, author, created_date, year, readability metrics (Fog index, avg words/sentence, avg syllables/word). 8M+ Reddit comments from r/personalfinance, r/Frugal, r/Economics, r/business, r/investing, and r/financialindependence spanning 2008–2020, pre-annotated with Gunning Fog readability scores.. Suitable for Financial discourse analysis, readability research, community language evolution, NLP on financial social media..
A Amazon.com movie product pages dataset of 7,911,696 movie reviews spanning 1997 to 2012, collected by McAuley & Leskovec via Amazon product review pages (2013). Each record contains product ID, reviewer user ID, reviewer profile name, helpfulness votes (numerator/denominator), star rating (1-5), Unix timestamp, review summary, and full review text. One of the largest Amazon review datasets publicly available — 8 million movie reviews with full text, helpfulness votes, and star ratings spanning 15 years of Amazon movie reviews.. Suitable for sentiment analysis, review helpfulness prediction, recommendation systems, user expertise modeling, longitudinal review behavior analysis.
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 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 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 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.
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 Reddit (Pushshift archive, full year 2008) dataset of 4,873,571 comments across 12 months, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains 2,181 subreddits, 2,955,005 reply edges across all months. Annual aggregate of all Pushshift Reddit comments for 2008 — 4,873,571 comments across 12 months and 2,181 subreddits.. Suitable for longitudinal Reddit analysis, annual growth trends, subreddit evolution, platform-scale engagement research.
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 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 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 Instagram (fashion influencers) dataset of 3,411,944 posts from fashion 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 fashion 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, 2010-08) dataset of 2,026,913 comments and 1,572,956 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 3,375 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-08 — full comment text, reply graph, and engagement metrics across 3,375 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
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.
A Reddit (Pushshift archive, 2010-07) dataset of 3,135,989 comments and 1,470,882 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,396 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-07 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,396 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Wikipedia (English edition talk pages) dataset of 2,987,535 nodes and 9,379,561 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia English talk page interactions between editors.. Suitable for wiki collaboration analysis, temporal network analysis, community detection.
A Stack Exchange (askubuntu.com) dataset of 255,799 users, 434,011 answer-collaboration edges, 414,451 questions, 523,728 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 askubuntu.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 552,155 submissions, 2,506,862 comments, 57,280 users, 934,284 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. Thematic cluster of 75 Voat subverses covering voat far-right politics communities, combining 552,155 submissions and 2,506,862 comments into a single user collaboration network for cross-community analysis.. Suitable for cross-community analysis, topic modeling, platform dynamics, social network analysis, content moderation research.
A Voat (Reddit alternative, 2013–2020) dataset of 476,656 submissions, 2,465,643 comments, 74,909 users, 1,095,198 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. Thematic cluster of 75 Voat subverses covering voat general discussion communities, combining 476,656 submissions and 2,465,643 comments into a single user collaboration network for cross-community analysis.. Suitable for cross-community analysis, topic modeling, platform dynamics, social network analysis, content moderation research.
A Reddit (Pushshift archive, 2010-06) dataset of 1,657,384 comments and 1,282,455 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 3,058 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-06 — full comment text, reply graph, and engagement metrics across 3,058 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Reddit (Pushshift archive, 2010-05) dataset of 2,528,094 comments and 1,166,669 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 2,924 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-05 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 2,924 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2010-03) dataset of 2,488,336 comments and 1,155,646 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 2,615 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-03 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 2,615 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2010-04) dataset of 1,482,903 comments and 1,143,923 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 2,895 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-04 — full comment text, reply graph, and engagement metrics across 2,895 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Wikipedia (English edition talk pages) dataset of 2,394,385 nodes and 5,021,410 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: False, temporal: False. Large directed temporal network of Wikipedia talk page interactions — 5M edges between 2.4M editors.. Suitable for wiki collaboration analysis, conflict detection, community detection.
The bipartite picture-tagging network of the image bookmarking site vi.sualize.us, as distributed by KONECT (pics_ui): 2,298,816 tag assignments by 17,122 users to 495,402 pictures, forming 997,840 distinct user–picture pairs (512,524 nodes in all). An edge records that a user tagged a picture; the file has no ratings or timestamps. The network was analysed by Neubauer and Obermayer in their study of the vi.sualize.us folksonomy. Useful for folksonomy research, tag-based recommendation and the structure of large bipartite user–item networks.
Posts from v/QRV, the QAnon research subverse on Voat, 2018-2020, from the Voat archive of Mekacher & Papasavva (ICWSM 2022): 187,158 submissions and 2,229,684 comments with their text, votes and dates. The archive did not recover the author of almost any v/QRV post (it writes a placeholder instead), so this entry has no user or reply graph. Suitable for QAnon and conspiracy discourse, topic modelling and moderation research.
A Stack Exchange (serverfault.com) dataset of 169,020 users, 416,072 answer-collaboration edges, 325,169 questions, 514,457 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 serverfault.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, 2010-01) dataset of 2,208,240 comments and 1,021,401 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 2,111 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 2,111 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Stack Exchange (tex.stackexchange.com) dataset of 77,851 users, 228,101 answer-collaboration edges, 259,202 questions, 330,587 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 tex.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, 2010-02) dataset of 1,236,636 comments and 957,464 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 2,259 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-02 — full comment text, reply graph, and engagement metrics across 2,259 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Stack Exchange (electronics.stackexchange.com) dataset of 87,916 users, 268,871 answer-collaboration edges, 199,373 questions, 329,505 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 electronics.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 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.
A Stack Exchange (physics.stackexchange.com) dataset of 83,259 users, 278,777 answer-collaboration edges, 234,152 questions, 341,531 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 physics.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, 2009-12) dataset of 1,152,863 comments and 888,012 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 1,936 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2009-12 — full comment text, reply graph, and engagement metrics across 1,936 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Stack Exchange (unix.stackexchange.com) dataset of 124,093 users, 280,381 answer-collaboration edges, 238,249 questions, 351,325 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 unix.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, 2009-10) dataset of 1,703,313 comments and 790,076 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 1,902 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2009-10 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 1,902 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2009-11) dataset of 1,010,489 comments and 780,046 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 1,937 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2009-11 — full comment text, reply graph, and engagement metrics across 1,937 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Instagram (other influencers) dataset of 1,625,526 posts from other 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 other 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 Voat (Reddit alternative, 2013–2020) dataset of 193,600 submissions, 1,478,207 comments, 32,586 users, 674,908 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 Voat communities containing explicit hate speech targeting racial, religious, and other minority groups. Included for research transparency — enables hate speech detection, toxicity modeling, and online radicalization studies using real platform data.. Suitable for hate speech detection, toxicity modeling, online radicalization, content moderation research, platform dynamics.
Stack Exchange
Reddit
Amazon
Instagram
YouTube
Wikipedia
Voat