1108 datasets tagged as the language “En”.
1,108 datasets — page 10 of 23.
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 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 Instagram (pet influencers) dataset of 169,998 posts from pet 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 pet 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 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 X (Twitter) with Community Notes annotations dataset of 152,266 multimodal posts (21,845 AI-generated, 104,915 miscaptioned), collected by Chrysidis, Papadopoulos & Papadopoulos via X Community Notes (2026). Each record contains tweet ID, reply/favorite/view/retweet counts, Community Notes text and timestamp, and misinformation type label (miscaptioned / ai_generated / other). Large-scale dataset of 152,266 multimodal X posts with Community Notes — tracking the rise of AI-generated misinformation with 21,845 confirmed AI-generated posts. Includes engagement metrics showing that AI-generated content achieves disproportionate virality despite slower initial reporting.. Suitable for AI-generated content detection, misinformation classification, Community Notes effectiveness, multimodal misinformation analysis, virality and engagement modeling, temporal degradation of detectors.
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.
Synthetic data: 150,000 generated social-media posts about Nigerian telecom operators (MTN, Airtel, Glo, 9mobile), published on Hugging Face by THUgewu as 'africa-synth'. The posts are not real user content. The file groups them into 978 rows by platform, operator, city and sentiment, with one list per field (post ID, time, text, issue category, likes, shares, comments, reach, sentiment score, operator response). Suitable for testing sentiment and customer-service pipelines, not for studying real users.
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 Amazon dataset of 146,891 QA pairs in Sports & Outdoors, 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 Sports & Outdoors. Suitable for question answering, sentiment analysis, product understanding, conversational AI.
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 MADOC (Voat, funny) dataset of 17,128 users and 82,319 reply edges from 143,945 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.
A ReCOVery (news credibility repository) dataset of 2,029 news articles with reliability labels and social media engagement, collected by Zhou, Mulay, Ferrara, and Zafarani via news websites and Twitter (2020). Each record contains news article title and body, reliability label (1=reliable, 0=unreliable), publisher, political bias, country, author, and social media engagement data. The dataset is notable for its multimodal repository combining news content with social media engagement, designed for COVID-19 news credibility research. Intended for research into fake news detection, credibility assessment, political bias analysis, and multimodal misinformation research.
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 Reddit dataset of 139,718 posts from r/ProgrammerHumor, 2014–2022, collected by Noei, Gauthier-Ouellet, Adams (Queen's University) via Reddit API. Each record contains post text (OCR for images), title, score, scoreratio, ncomments, post type (image/text/link), timestamp, LDA topic ID, virality label. 139k r/ProgrammerHumor submissions (2014–2022) with LDA topic labels, engagement metrics, and binary virality labels; replication package for ESEM 2024 paper on humor in software communities.. Suitable for Humor detection, community engagement analysis, software discourse, LDA topic modeling validation..
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 Epinions.com (consumer review platform) dataset of 131,828 users and 841,372 directed signed edges (717,667 trust, 123,705 distrust), collected by Richardson et al. via Epinions.com crawl, distributed by SNAP. Each record contains directed signed edges between users: +1 indicates explicit trust, -1 indicates explicit distrust, capturing both positive and negative social relationships. one of the largest publicly available signed social networks, with explicit user-declared trust and distrust labels rather than inferred sentiment — making it ideal for signed graph algorithm benchmarking. Suitable for signed network analysis, trust propagation, link sign prediction, community detection in signed graphs, and balance theory validation.
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 Twitter dataset of 128,484 tweets with political leaning labels, collected by Chatelet via Hugging Face. Each record contains text, political label (liberal, conservative, neutral). 100K tweets labeled for political ideology with balanced classes. Suitable for political NLP, ideology classification, discourse analysis.
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..
A Scored.co (c/Christianity) dataset of 10,065 submissions and 114,801 comments from 699 unique authors in c/Christianity (2020-2023), collected by iDRAMA Lab via Scored.co API (2024). Each record contains post/comment text, author, score up/down, NSFW/deleted/twitter-crosspost flags, date, UUID. c/Christianity on Scored.co — Christian religious discussion community. 124,866 total posts from 699 authors over 4 years. Suitable for deplatforming research, community behavior analysis, alternative platform discourse, content moderation effects, longitudinal community evolution.
A Stack Exchange (gardening.stackexchange.com) dataset of 10,133 users, 19,804 answer-collaboration edges, 17,860 questions, 25,421 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 gardening.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 25,989 submissions, 94,638 comments, 10,272 users, 46,388 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/Conspiracy, covering its full lifetime on the platform (2013–2020). Includes all 25,989 submissions and 94,638 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A NDS-VU signed network repository dataset of 7,116 Wikipedia editors and 1,048,576 signed conflict/collaboration edges, 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 editor interactions derived from edit conflict and revert patterns, where positive edges indicate collaborative edits and negative edges indicate conflicts and reverts between editors. Suitable for signed network analysis, conflict detection, collaborative platform dynamics.
A Stack Exchange (cstheory.stackexchange.com) dataset of 5,670 users, 13,474 answer-collaboration edges, 12,858 questions, 16,869 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 cstheory.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 (linguistics.stackexchange.com) dataset of 6,000 users, 12,689 answer-collaboration edges, 11,125 questions, 16,846 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 linguistics.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 (boardgames.stackexchange.com) dataset of 9,031 users, 19,556 answer-collaboration edges, 13,873 questions, 25,108 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 boardgames.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 33,774 submissions, 87,664 comments, 3,508 users, 15,643 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/SoapboxBanhammer, covering its full lifetime on the platform (2013–2020). Includes all 33,774 submissions and 87,664 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 36,079 submissions, 78,000 comments, 14,765 users, 44,437 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 49 Voat subverses covering voat lifestyle & hobbies communities, combining 36,079 submissions and 78,000 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 Stack Exchange (retrocomputing.stackexchange.com) dataset of 3,761 users, 10,521 answer-collaboration edges, 5,958 questions, 14,873 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 retrocomputing.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 (vi.stackexchange.com) dataset of 6,472 users, 13,767 answer-collaboration edges, 14,449 questions, 18,879 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 vi.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 (economics.stackexchange.com) dataset of 7,442 users, 14,621 answer-collaboration edges, 15,820 questions, 18,630 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 economics.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..
A LiveJournal social network of 106,577 users and 961,392 directed edges (793,948 follower links and 246,164 friendship links), from a crawl of the users within three hops of the seed user krazykitkat, pre-processed for the paper 'Emotions in Social Networks: Distributions, Patterns, and Models' (Jin and Zafarani): only users with 10 or more posts carrying a predefined LiveJournal mood were kept, and user ids are anonymized. This copy holds the two network files (Friendship.txt, Followers.txt) and the release README; the per-post mood file (Posts.txt) and community memberships (Community.txt) that the README describes are not included. Suitable for social network structure, follower and friendship analysis, community detection, social influence modeling.
A Livemocha (language learning community) dataset of 104,103 users and 2,193,083 friendship edges, collected by Xia Hu (Ben) via Livemocha crawl, December 2010. Each record contains user-user friendship edges. The dataset is notable for its friendship network of the world's largest online language learning community, with 6M+ members across 200+ countries. Intended for research into social network analysis, community detection, and cross-cultural interaction studies.
A Reddit (Pushshift archive, 2007-10) dataset of 59,814 comments and 46,281 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 32 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2007-10 — full comment text, reply graph, and engagement metrics across 32 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Google+ (now defunct) dataset of 102,100 nodes and 13,548,655 directed edges across 132 ego networks with ground-truth circles, collected by McAuley and Leskovec (Stanford, 2012) from public Google+ profiles. Each record contains directed follow edges, ground-truth circle memberships (Google+ circles shared publicly), anonymized node feature vectors representing profile attributes. 133 Google+ ego networks with publicly shared ground-truth circles from users who voluntarily released their circle data, providing a uniquely clean community ground-truth from a directed social platform. Suitable for overlapping community detection, ego network analysis, directed social circle inference, link prediction.
A Buzznet dataset of 101,163 users, 2,763,066 social connections, collected by Shakarian and Paulo (ASONAM 2012) via Buzznet platform. Each record contains undirected edges between Buzznet users representing social connections in the photo/music sharing community. Buzznet social network from a pop culture and entertainment focused social media platform where users share photos, music, and videos. Suitable for viral marketing, influence propagation, social network analysis, community detection, information diffusion in entertainment networks.
A Amazon dataset of 101,088 QA pairs in Tools & Home Improvement, 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 Tools & Home Improvement. Suitable for question answering, sentiment analysis, product understanding, conversational AI.
A Voat (Reddit alternative, 2013–2020) dataset of 31,879 submissions, 69,349 comments, 8,662 users, 24,461 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 28 Voat subverses covering voat religion & philosophy communities, combining 31,879 submissions and 69,349 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 Twitter (hateful user network) dataset of 100,386 users (544 hateful, 4,427 normal, 0 suspended) with 2,286,592 follower edges, collected by Ribeiro et al. via Twitter API (2018). Each record contains user ID, hate label (hateful/normal/suspended), follower/followee/statuses counts, network centrality metrics, 200+ Empath emotional category scores, 300-dim GloVe embeddings, sentiment, subjectivity, tweet engagement statistics. One of the most feature-rich hateful user datasets, with 100,386 Twitter users labeled for hatefulness and supplemented with full network topology, Empath psychological features, and GloVe embeddings. Suitable for hate speech detection, hateful user classification, network-based toxicity analysis, suspended account detection, social influence of hate, graph-based hate propagation.
A Reddit (r/debatealtright ban intervention, 2020) dataset of 12,093 pre-ban posts from banned community, 53,216 pre-ban control posts, 33,548 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/debatealtright: 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 Scored.co (c/Shithole) dataset of 25,200 submissions and 73,520 comments from 804 unique authors in c/Shithole (2020-2023), collected by iDRAMA Lab via Scored.co API (2024). Each record contains post/comment text, author, score up/down, NSFW/deleted/twitter-crosspost flags, date, UUID. c/Shithole on Scored.co — General unmoderated discussion. 98,720 total posts from 804 authors over 4 years. Suitable for deplatforming research, community behavior analysis, alternative platform discourse, content moderation effects, longitudinal community evolution.
Last.fm
Voat
Instagram
Twitch
Reddit
Twitter (X)
Facebook
Petster
Amazon
Stack Exchange
Wikipedia
Epinions
Scored
LiveJournal
Livemocha
Google
Buzznet