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 Bluesky (2024 presidential debate coverage) dataset of 279,249 bluesky posts from June 25 - July 2, 2024, collected by Zenodo contributors via public API. Each record contains post text, user ID, post ID, creation date, hashtags, mentioned users, URLs, post type (post/reply/repost), linked post, root post, language. 279,249 bluesky posts covering the 2024 Biden-Trump presidential debate with pre-computed sentence embeddings. Suitable for political communication, debate analysis, cross-platform comparison, decentralized social media research, NLP with embeddings.
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..
A Discogs music marketplace and database dataset of 270,786 nodes and 481,661 edges, collected by KONECT via Discogs database. Each record contains directed: False, weighted: True, temporal: False. Bipartite network linking Discogs users to music genres they collect — 4.1M edges across 270k users and 15 genres.. Suitable for recommender systems, music preference analysis, bipartite network analysis.
A Stack Exchange (webmasters.stackexchange.com) dataset of 23,814 users, 45,505 answer-collaboration edges, 38,235 questions, 56,113 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 webmasters.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, 2007-12) dataset of 255,439 comments and 120,465 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 29 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2007-12 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 29 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Stack Exchange (crypto.stackexchange.com) dataset of 15,839 users, 30,734 answer-collaboration edges, 30,327 questions, 37,048 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 crypto.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 (Dutch edition talk pages) dataset of 225,749 nodes and 565,477 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Dutch talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Reddit (r/sanctionedsuicide ban intervention, 2018) dataset of 27,002 pre-ban posts from banned community, 142,493 pre-ban control posts, 52,442 post-ban control posts, collected by Cerulli et al. via Reddit API (ICWSM 2026). Each record contains comment ID, selftext (post body), author (pseudonymized), subreddit, score, created_utc, split label (in-before/out-before/out-after). TBBT r/sanctionedsuicide: pre- and post-ban Reddit dataset from The Big Ban Theory — standardized 3-month window around the 2018 moderation intervention with matched control communities. Suitable for content moderation effects, community migration, deplatforming research, pre/post intervention analysis, Reddit ban studies.
A Libimseti.cz (Czech online dating platform) dataset of 220,970 nodes and 17,359,346 edges, collected by Brozovsky & Petricek via platform crawl. Each record contains directed: True, weighted: True, signed: False, temporal: False. Directed weighted rating network from a Czech dating site where users rate each other 1-10. One of the largest online dating networks publicly available for research.. Suitable for recommender systems, rating network analysis, online dating research.
A Reddit (Pushshift archive, 2007-11) dataset of 215,657 comments and 98,694 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 30 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2007-11 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 30 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Stack Exchange (christianity.stackexchange.com) dataset of 8,271 users, 24,110 answer-collaboration edges, 16,728 questions, 38,510 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 christianity.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 Google+ dataset of 211,187 users, 1,506,896 circle memberships, collected by Fire et al. via Google+ API (2013). Each record contains directed edges between Google+ users representing circle memberships (user → circle). Google+ social graph capturing directed circle relationships, where users add others to their circles, creating a directed social graph structure. Suitable for link prediction, social network analysis, community detection, circle-based social behavior analysis.
A BibSonomy academic social bookmarking platform dataset of 210,467 nodes and 453,987 edges, collected by KONECT via BibSonomy API. Each record contains directed: False, weighted: True, temporal: True. Temporal bipartite network of BibSonomy users and publications they bookmarked, with Unix timestamps.. Suitable for social bookmarking analysis, academic recommendation, temporal bipartite networks.
A Twitter (Moscow Athletics 2013) dataset of 88,804 users, 210,250 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 Moscow Athletics 2013 with three interaction layers. Suitable for multiplex network analysis, event dynamics, information propagation.
A Reddit (r/gendercritical ban intervention, 2020) dataset of 40,976 pre-ban posts from banned community, 94,239 pre-ban control posts, 72,306 post-ban control posts, collected by Cerulli et al. via Reddit API (ICWSM 2026). Each record contains comment ID, selftext (post body), author (pseudonymized), subreddit, score, created_utc, split label (in-before/out-before/out-after). TBBT r/gendercritical: pre- and post-ban Reddit dataset from The Big Ban Theory — standardized 3-month window around the 2020 moderation intervention with matched control communities. Suitable for content moderation effects, community migration, deplatforming research, pre/post intervention analysis, Reddit ban studies.
A Academia.edu dataset of 200,169 academics, 1,022,883 connections, collected by Fire et al. (2011) via Academia.edu platform. Each record contains undirected edges between academics, representing follows or connections between researchers on the platform. Academic social network capturing researcher connections on Academia.edu, a platform for sharing research papers and tracking scholarly impact. Suitable for link prediction, academic network analysis, scholarly collaboration studies, research impact analysis.
A Stack Exchange (webapps.stackexchange.com) dataset of 29,287 users, 39,456 answer-collaboration edges, 33,995 questions, 49,455 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 webapps.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 StackExchange SuperUser (technical Q&A community) dataset of 194,085 users and 1,443,339 directed interaction edges, collected by Paranjape, Benson & Leskovec via SNAP (2017). Each record contains source user ID, target user ID, Unix timestamp of interaction. Temporal directed interaction network from SuperUser covering answers, comments on answers, and comments on questions — three types of user interactions collapsed into a single edge list with Unix timestamps.. Suitable for temporal network analysis, Q&A community structure, motif detection, information flow in technical communities.
A Gnutella peer-to-peer network dataset combining the 9 SNAP snapshots of August 2002 (Ripeanu et al.): 191,327 nodes and 506,442 directed edges in all. SNAP numbers the hosts of each snapshot separately, so the snapshots sit side by side in one graph with node IDs of the form snapshot:host, and no host is linked across snapshots. Suitable for temporal network analysis, graph evolution, and peer-to-peer network resilience.
A Wikipedia (online encyclopedia) dataset of 11,377 users and 196,614 directed signed votes (143,879 support, 40,667 oppose, 12,068 neutral) with 189,541 vote rationale texts, collected by West and Leskovec from Wikipedia's public adminship election records spanning 2003–2013, distributed by SNAP. Each record contains directed signed edges from voter to candidate: +1 support, -1 oppose, 0 neutral; election outcome per candidate (0/1); natural language vote rationale text per vote. The dataset is notable for its unique combination of signed network structure with natural language rationale text per edge, enabling joint graph and text analysis; one of the few real-world signed networks with explicit textual justifications for positive and negative links. Intended for research into signed network analysis, trust and reputation modeling, text-attributed graph research, opinion mining, link sign prediction with text features, and community detection in collaborative platforms.
A Voat (Reddit alternative, 2013–2020) dataset of 44,923 submissions, 153,181 comments, 18,935 users, 89,631 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/videos, covering its full lifetime on the platform (2013–2020). Includes all 44,923 submissions and 153,181 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Voat (Reddit alternative, 2013–2020) dataset of 34,801 submissions, 152,719 comments, 18,114 users, 77,540 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/technology, covering its full lifetime on the platform (2013–2020). Includes all 34,801 submissions and 152,719 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A GitHub (user-repository starring/watching network) dataset of 177,386 nodes and 440,237 edges, collected by KONECT via GitHub API. Each record contains directed: False, weighted: False, temporal: False. Bipartite network of GitHub users and repositories — edges represent starring or watching relationships.. Suitable for open source collaboration analysis, bipartite network analysis, software ecosystem research.
A Stack Exchange (ja.stackoverflow.com) dataset of 11,176 users, 23,490 answer-collaboration edges, 31,119 questions, 36,454 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 ja.stackoverflow.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 (hermeneutics.stackexchange.com) dataset of 7,876 users, 21,477 answer-collaboration edges, 14,767 questions, 42,439 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 hermeneutics.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 Last.fm music streaming and social platform dataset of 174,077 nodes and 894,472 edges, collected by KONECT via Last.fm API. Each record contains directed: False, weighted: True, temporal: True. Temporal bipartite network of Last.fm users and bands they listened to, with Unix timestamps per play event.. Suitable for music recommendation, temporal bipartite networks, listening behavior analysis.
A Barrapunto (the Spanish Slashdot) dataset of 7,724 discussion threads, 2005-2007, from the Online Conversation Threads repository of Aragón et al. (ICWSM 2017): 172,132 nodes (articles and comments) and 169,825 comment-to-parent reply edges, with comment text, moderation scores, timestamps and thread depth. Suitable for online discourse analysis, conversation dynamics and hierarchical reply-tree structure.
A Voat (Reddit alternative, 2013–2020) dataset of 23,694 submissions, 151,624 comments, 3,486 users, 34,151 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/NeoFAG, covering its full lifetime on the platform (2013–2020). Includes all 23,694 submissions and 151,624 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Huawei telecom network (anonymized carrier data) dataset of 170,380 nodes (100,000 users, 1,000 apps, 380 packages) and 2,000,000 directed edges, collected by Huawei Global Technology Services (anonymized, 2021). Each record contains user ID, app ID, package ID, cell ID; edge types: user-buy-package and user-use-app; normalized float feature vectors per node [0,1]. Heterogeneous graph from a real telecom carrier with 4 node types (user, app, package, cell) and 2 edge types — one of the few publicly available large-scale telecom behavioral graphs for research.. Suitable for heterogeneous graph neural networks, telecom network analysis, graph algorithm benchmarking, user behavior modeling in carrier networks.
A Twitch (gaming social network) dataset of 168,116 users and 6,797,558 mutual follower edges, collected by Rozemberczki & Sarkar via Twitch public API (2018). Each record contains undirected mutual follower edges, node features (views, mature, life_time, created_at, updated_at, dead_account, language, affiliate). The dataset is notable for its large-scale strongly connected component with no missing attributes, designed for node classification and count data regression. Intended for research into social network analysis, node classification, community detection, and transfer learning in gaming communities.
A Reddit (r/darknetmarkets ban intervention, 2018) dataset of 32,712 pre-ban posts from banned community, 119,036 pre-ban control posts, 16,348 post-ban control posts, collected by Cerulli et al. via Reddit API (ICWSM 2026). Each record contains comment ID, selftext (post body), author (pseudonymized), subreddit, score, created_utc, split label (in-before/out-before/out-after). TBBT r/darknetmarkets: pre- and post-ban Reddit dataset from The Big Ban Theory — standardized 3-month window around the 2018 moderation intervention with matched control communities. Suitable for content moderation effects, community migration, deplatforming research, pre/post intervention analysis, Reddit ban studies.
A Voat (Reddit alternative, 2013–2020) dataset of 28,755 submissions, 139,916 comments, 17,940 users, 75,975 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/gaming, covering its full lifetime on the platform (2013–2020). Includes all 28,755 submissions and 139,916 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Douban (Chinese social network) dataset of 154,908 users and 327,162 friendship edges, collected by Long Qiu via Douban crawl (December 2010). Each record contains user-user friendship edges and user IDs. The dataset is notable for its friendship network from Douban, China's largest online community for book, movie, and music reviews and recommendations. Intended for research into social network analysis, community detection, Chinese social media research, and content-sharing platform structure studies.
A DBTropes (structured TV Tropes database) dataset of 152,093 nodes and 3,232,134 edges, collected by M. Kiesel et al. via TV Tropes crawl. Each record contains directed: False, weighted: False. Bipartite network of films and narrative tropes they contain from DBTropes — useful for computational narrative analysis.. Suitable for computational narrative analysis, bipartite network analysis, film studies.
A dataset from The Big Ban Theory (Cerulli et al., ICWSM 2026) on the June 2015 ban of r/fatpeoplehate: 111,751 posts in the subreddit in the three months before the ban, and 39,427 posts in v/fatpeoplehate on Voat, where the community moved, in the three months after it. Each record holds the post ID, text, pseudonymized author, community, score and time. Suitable for deplatforming research, community migration and pre/post intervention analysis.
A Catster dataset of 149,700 users, 5,449,275 friendships, collected by Catster website (catster.com). Each record contains undirected edges between Catster users representing friendships among cat owners and cat lovers. Catster social network capturing friendships in a niche social networking site for cat owners, cat lovers, and pet enthusiasts. Suitable for social network analysis, community detection, niche social media studies, pet owner behavior analysis.
A Petster.com (pet social network — cats) dataset of 149,700 nodes and 5,449,275 edges, collected by KONECT via Petster crawl. Each record contains directed: False, weighted: False, signed: False. Friendship network of cat profiles on a pet social networking site.. Suitable for social network analysis, community detection.
A Princeton WordNet lexical database dataset of 146,005 nodes and 656,999 edges, collected by Princeton University. Each record contains directed: False, weighted: False. Semantic network of English words linked by synonymy, hypernymy, and other lexical relations from WordNet.. Suitable for natural language processing, semantic network analysis, word embedding evaluation.
A Stack Exchange (writers.stackexchange.com) dataset of 10,127 users, 28,045 answer-collaboration edges, 12,683 questions, 38,780 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 writers.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 NDS-VU signed network repository dataset of 138,588 Wikipedia editors and 715,883 signed interaction edges on political articles, collected by NDS-VU from Wikipedia edit history. Each record contains directed signed edges between nodes: sign (+1 or -1) representing positive/negative relationships; no edge weights beyond binary sign. Large signed network of Wikipedia editors working on political articles, capturing support and opposition relationships derived from edit patterns and talk page interactions in politically charged content areas. Suitable for political discourse analysis, signed network analysis, editor behavior.
A StackExchange Ask Ubuntu (Linux/Ubuntu Q&A community) dataset of 137,517 users and 280,102 directed interaction edges, collected by Paranjape, Benson & Leskovec via SNAP (2017). Each record contains source user ID, target user ID, Unix timestamp of interaction. Temporal directed network of answer-to-question interactions on Ask Ubuntu — edges connect answering users to question-asking users with Unix timestamps, capturing the flow of technical knowledge.. Suitable for Q&A network analysis, temporal interaction patterns, community detection, knowledge flow in technical communities.
A Facebook (social media platform) dataset of 134,833 Facebook pages and 1,379,403 undirected mutual-like edges across 8 page categories (company, politician, tvshow, government, artist, new_sites, public_figure, athletes), collected by Rozemberczki et al. via Facebook Graph API, distributed via GEMSEC/SNAP. Each record contains undirected edges between Facebook pages representing mutual likes; pages categorized as company, politician, TV show, government, artist, news site, public figure, or athlete; node IDs namespaced by category. The dataset is notable for its multi-category Facebook page network with known ground-truth category labels per node, enabling direct evaluation of community detection and node classification algorithms across heterogeneous page types. Intended for research into community detection, node classification, graph embedding, cross-category network comparison, and social media page recommendation research.
A Reddit (r/funny, r/pics, r/gifs and other popular subreddits) dataset of 132,214 Reddit posts across 837 subreddits with full comment threads, collected by Web scraper collecting top Reddit posts circa 2012. Each record contains post ID, subreddit, post title, upvotes, downvotes, submission timestamp, and full comment text for each thread. Complete HTML snapshots of 132,214 Reddit threads from ~2012, preserving the full discussion including post content, comment trees, and engagement metrics across 837 subreddits.. Suitable for community detection, Reddit discussion analysis, social engagement modeling, comment thread structure, subreddit community behavior.
A Stack Exchange (networkengineering.stackexchange.com) dataset of 11,642 users, 21,496 answer-collaboration edges, 16,633 questions, 26,328 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 networkengineering.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 (astronomy.stackexchange.com) dataset of 7,452 users, 15,893 answer-collaboration edges, 14,653 questions, 20,328 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 astronomy.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 (french.stackexchange.com) dataset of 6,339 users, 16,570 answer-collaboration edges, 13,493 questions, 27,485 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 french.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 (engineering.stackexchange.com) dataset of 9,421 users, 17,986 answer-collaboration edges, 16,173 questions, 21,229 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 engineering.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..
Stack Exchange
Bluesky
Discogs
Reddit
Wikipedia
Libimseti
Google
BibSonomy
Twitter (X)
Academia.edu
Voat
GitHub
Last.fm
Barrapunto
Twitch
Douban
Petster
Facebook