En

1108 datasets tagged as the language “En”.

1,108 datasets — page 16 of 23.

Facebook UC61 Network (FB100) Analyzed

A Facebook (UC61, September 2005) dataset of 13,746 users and 442,174 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (88 unique), dorm (97 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0026, major homophily: 0.0572.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

13.7K records13.7K nodes442.2K edges2012

Facebook Temple83 Network (FB100) Analyzed

A Facebook (Temple83, September 2005) dataset of 13,686 users and 360,795 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (57% male, 43% female), graduation year, major (157 unique), dorm (27 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: -0.0668, major homophily: 0.0565.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

13.7K records13.7K nodes360.8K edges2012

Facebook Syracuse56 Network (FB100) Analyzed

A Facebook (Syracuse56, September 2005) dataset of 13,653 users and 543,982 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (100 unique), dorm (70 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0623, major homophily: 0.0725.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

13.7K records13.7K nodes544K edges2012

Voat — v/Worldpolitics Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 5,724 submissions, 8,417 comments, 2,023 users, 4,126 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/Worldpolitics, covering its full lifetime on the platform (2013–2020). Includes all 5,724 submissions and 8,417 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

13.5K records2K nodes4.1K edges2022

Facebook USF51 Network (FB100) Analyzed

A Facebook (USF51, September 2005) dataset of 13,377 users and 321,214 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (58% male, 42% female), graduation year, major (89 unique), dorm (79 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: -0.0755, major homophily: 0.0286.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

13.4K records13.4K nodes321.2K edges2012

FOLDOC Computing Dictionary Network Analyzed

A Free On-line Dictionary of Computing (FOLDOC) dataset of 13,356 nodes and 120,238 edges, collected by Denis Howe. Each record contains directed: True, weighted: True. Directed network of computing terms linked by cross-references in the FOLDOC dictionary.. Suitable for knowledge network analysis, dictionary network structure, NLP.

13.4K records13.4K nodes120.2K edges2002

Voat — v/programming Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,542 submissions, 11,048 comments, 3,590 users, 6,862 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/programming, covering its full lifetime on the platform (2013–2020). Includes all 2,542 submissions and 11,048 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

13.3K records3.6K nodes6.9K edges2022

Amazon QA — Video Games Analyzed

A Amazon dataset of 13,307 QA pairs in Video Games, 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 Video Games. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

13.3K records2016

Voat — v/USNews Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 5,890 submissions, 8,027 comments, 1,884 users, 3,883 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/USNews, covering its full lifetime on the platform (2013–2020). Includes all 5,890 submissions and 8,027 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

13.3K records1.9K nodes3.9K edges2022

Voat — v/emergencynation Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,624 submissions, 10,776 comments, 1,600 users, 2,115 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/emergencynation, covering its full lifetime on the platform (2013–2020). Includes all 2,624 submissions and 10,776 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

13K records1.6K nodes2.1K edges2022

Voat — v/Jokes Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,745 submissions, 8,834 comments, 2,476 users, 5,476 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/Jokes, covering its full lifetime on the platform (2013–2020). Includes all 3,745 submissions and 8,834 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

13K records2.5K nodes5.5K edges2022

Facebook Baylor93 Network (FB100) Analyzed

A Facebook (Baylor93, September 2005) dataset of 12,803 users and 679,817 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (59% male, 41% female), graduation year, major (123 unique), dorm (65 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0957, major homophily: 0.0446.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

12.8K records12.8K nodes679.8K edges2012

Voat — v/Identitarians Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,659 submissions, 10,768 comments, 1,729 users, 4,321 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/Identitarians, covering its full lifetime on the platform (2013–2020). Includes all 2,659 submissions and 10,768 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

12.8K records1.7K nodes4.3K edges2022

LIAR: Fake News Detection Benchmark Analyzed

A LIAR (fact-checking benchmark) dataset of 12,789 labeled claim statements from Politifact, collected by Wang via Politifact fact-checking (2017). Each record contains claim text, 6-class veracity label, speaker metadata (party, state, job title), credit history counts (barely_true/false/half_true/mostly_true/pants_fire), and context. The dataset is notable for its benchmark dataset for fake news detection with fine-grained 6-class labels, rich speaker metadata, and credit history. Intended for research into fake news detection, fact-checking, political discourse analysis, and misinformation research.

12.8K records2017

Voat — v/books Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,142 submissions, 10,877 comments, 4,220 users, 7,394 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/books, covering its full lifetime on the platform (2013–2020). Includes all 2,142 submissions and 10,877 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

12.8K records4.2K nodes7.4K edges2022

Anybeat Social Network Analyzed

A Anybeat dataset of 12,645 users, 49,132 connections, collected by Fire et al. (2012) via Anybeat platform. Each record contains undirected edges between Anybeat users representing social connections in the community platform. Anybeat social network capturing user connections in a public gathering place where people interact with others from around their neighborhood or across the world. Suitable for link prediction, social network analysis, community detection, online community behavior studies.

12.6K records12.6K nodes49.1K edges2012

LASAGNE Social Network Analyzed

A LASAGNE online social network dataset dataset of 12,643 nodes and 57,453 edges, collected by KONECT. Each record contains directed: True, weighted: True. Directed network from the LASAGNE project — a small online social network dataset.. Suitable for social network analysis, community detection.

12.6K records12.6K nodes57.5K edges2013

DBLP Citation Network Analyzed

A DBLP Computer Science Bibliography dataset of 12,591 nodes and 49,743 edges, collected by KONECT via DBLP database. Each record contains directed: True, weighted: False. Directed citation network of computer science papers in the DBLP bibliography.. Suitable for citation network analysis, academic influence, community detection.

12.6K records12.6K nodes49.7K edges2002

Stack Exchange — eosio.stackexchange.com Analyzed

A Stack Exchange (eosio.stackexchange.com) dataset of 1,023 users, 2,134 answer-collaboration edges, 2,408 questions, 2,941 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 eosio.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..

12.5K records1K nodes2.1K edges2025

Stack Exchange — langdev.stackexchange.com Analyzed

A Stack Exchange (langdev.stackexchange.com) dataset of 413 users, 1,580 answer-collaboration edges, 728 questions, 2,259 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 langdev.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..

12.3K records413 nodes1.6K edges2025

PHEME Rumour Dataset — ottawashooting Analyzed

Twitter conversations around the Ottawa Parliament Hill shooting (October 2014), from the PHEME rumour dataset (Zubiaga, Liakata, Procter, Kochkina and colleagues; the complete release for rumour detection and veracity classification, figshare 6392078): 890 threads, each a source tweet and its replies, of which 470 were judged rumours by journalists and 420 not. Every rumour also carries its veracity as later established: 329 true, 72 false and 69 unverified. 12,284 tweets in all, with full tweet JSON. ECHO builds the reply network (11,394 reply links, each reply pointing to the tweet it answers) and labels each tweet with its thread's rumour status and, for source tweets, the veracity. Useful for rumour detection, rumour verification and modelling how conversations unfold. Annotations CC BY 4.0; Twitter retains the rights to tweet content. The archive PHEME_veracity.tar.bz2 is gzip-compressed despite its name (the name is the authors' own, kept so the checksum matches figshare): extract it with `tar xzf`.

12.3K records12.4K nodes11.4K edges2018

Facebook GWU54 Network (FB100) Analyzed

A Facebook (GWU54, September 2005) dataset of 12,193 users and 469,528 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (107 unique), dorm (75 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0281, major homophily: 0.0443.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

12.2K records12.2K nodes469.5K edges2012

Facebook Notre Dame57 Network (FB100) Analyzed

A Facebook (Notre Dame57, September 2005) dataset of 12,155 users and 541,339 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (54% male, 46% female), graduation year, major (120 unique), dorm (42 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1332, major homophily: 0.0477.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

12.2K records12.2K nodes541.3K edges2012

Amazon QA — Industrial & Scientific Analyzed

A Amazon dataset of 12,136 QA pairs in Industrial & Scientific, 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 Industrial & Scientific. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

12.1K records2016

Voat — v/space Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,620 submissions, 9,071 comments, 2,562 users, 5,210 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/space, covering its full lifetime on the platform (2013–2020). Includes all 3,620 submissions and 9,071 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

11.9K records2.6K nodes5.2K edges2022

Twitter Financial News Sentiment Dataset Analyzed

A Twitter dataset of 11,929 labeled financial tweets, collected by zeroshot via Twitter API. Each record contains tweet text, sentiment label (positive/negative/neutral), sentiment value (0/1/2), train/valid split. A labeled dataset of tweets about financial news, with sentiment annotations for stock market-related content. Suitable for sentiment analysis, financial NLP, stock market prediction, social media analytics, natural language processing.

11.9K records2023

Voat — v/cheers Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 7,849 submissions, 5,629 comments, 630 users, 1,645 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/cheers, covering its full lifetime on the platform (2013–2020). Includes all 7,849 submissions and 5,629 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

11.9K records630 nodes1.6K edges2022

Facebook Columbia2 Network (FB100) Analyzed

A Facebook (Columbia2, September 2005) dataset of 11,770 users and 444,333 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (58% male, 42% female), graduation year, major (92 unique), dorm (53 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0873, major homophily: 0.0455.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

11.8K records11.8K nodes444.3K edges2012

Voat — v/ModernPowers Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,274 submissions, 6,229 comments, 271 users, 1,604 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/ModernPowers, covering its full lifetime on the platform (2013–2020). Includes all 3,274 submissions and 6,229 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

11.7K records271 nodes1.6K edges2022

Facebook Stanford3 Network (FB100) Analyzed

A Facebook (Stanford3, September 2005) dataset of 11,621 users and 568,330 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (45% male, 55% female), graduation year, major (77 unique), dorm (94 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0566, major homophily: 0.0508.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

11.6K records11.6K nodes568.3K edges2012

Facebook Pages — Public Figure Category (Nov 2017) Analyzed

A Facebook dataset of 11,565 pages, 67,114 mutual likes, collected by Rozemberczki et al. via the Facebook Graph API (November 2017). Each record contains undirected edges between blue verified Facebook public figure pages that mutually liked each other, with node attributes including page name and raw Facebook ID. Graph of blue verified Facebook public figure pages, where edges represent mutual likes between pages, capturing how audiences engage with celebrities, influencers, and notable personalities. Suitable for community detection in social networks, graph embedding, celebrity influence analysis, public figure engagement studies, social media personality network analysis.

11.6K records11.6K nodes67.1K edges2019

Stack Exchange — tezos.stackexchange.com Analyzed

A Stack Exchange (tezos.stackexchange.com) dataset of 825 users, 1,728 answer-collaboration edges, 2,208 questions, 2,547 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 tezos.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..

11.5K records825 nodes1.7K edges2025

Facebook BC17 Network (FB100) Analyzed

A Facebook (BC17, September 2005) dataset of 11,509 users and 486,967 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (52 unique), dorm (33 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0145, major homophily: 0.0438.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

11.5K records11.5K nodes487K edges2012

CLEF CheckThat! 2025 Task 2 — English Claim Normalization Analyzed

A CLEF CheckThat! 2025 Task 2 (english) dataset of 11,374 social media post and normalized claim pairs, collected by CLEF CheckThat! Lab organizers (2025). Each record contains social media post text containing a factual claim, normalized canonical claim statement. CLEF 2025 CheckThat! Task 2 (english) provides 11,374 pairs of social media posts and their normalized factual claims, enabling claim normalization and canonicalization research. Suitable for claim normalization, fact-checking automation, NLP text generation, multilingual claim extraction, social media fact verification.

11.4K records2025

Facebook Cal65 Network (FB100) Analyzed

A Facebook (Cal65, September 2005) dataset of 11,247 users and 351,358 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (47% male, 53% female), graduation year, major (65 unique), dorm (66 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0221, major homophily: 0.1054.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

11.2K records11.2K nodes351.4K edges2012

Stack Exchange — coffee.stackexchange.com Analyzed

A Stack Exchange (coffee.stackexchange.com) dataset of 1,587 users, 2,509 answer-collaboration edges, 1,475 questions, 2,898 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 coffee.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..

11.1K records1.6K nodes2.5K edges2025

Italian Constitutional Referendum Twitter Signed Network (NDS-VU) Analyzed

A NDS-VU signed network repository dataset of 10,885 users and 251,406 signed interaction edges from Italian referendum Twitter, collected by NDS-VU (Vrije Universiteit Amsterdam, 2016). Each record contains directed signed edges between nodes: sign (+1 or -1) representing positive/negative relationships; no edge weights beyond binary sign. Signed retweet/mention network from the 2016 Italian constitutional referendum on Twitter, where edges represent support (+1) or opposition (-1) interactions between users discussing the referendum. Suitable for political polarization, signed social network analysis, referendum discourse.

10.9K records10.9K nodes251.4K edges2021

Gnutella Network — August 04, 2002 Analyzed

A Gnutella (August 04, 2002) dataset of 10,876 nodes and 39,994 edges, collected by Ripeanu et al. via Gnutella crawl (2002). Each record contains directed peer-to-peer connections in the Gnutella network. The dataset is notable for its snapshot from August 04, 2002, part of a temporal sequence of 9 snapshots. Intended for research into peer-to-peer network analysis, temporal graph evolution, and network resilience studies.

10.9K records10.9K nodes40K edges2002

Voat — v/Australia Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,992 submissions, 7,070 comments, 1,221 users, 2,894 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/Australia, covering its full lifetime on the platform (2013–2020). Includes all 3,992 submissions and 7,070 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

10.8K records1.2K nodes2.9K edges2022

Arenas PGP Web of Trust Network Analyzed

A PGP (Pretty Good Privacy) key signing network dataset of 10,680 nodes and 24,316 edges, collected by M. Boguñá et al.. Each record contains directed: False, weighted: False, signed: False. Web of trust network from PGP key signings — nodes are PGP users, edges are key signatures.. Suitable for trust network analysis, community detection, graph algorithm benchmarking.

10.7K records10.7K nodes24.3K edges2004

Amazon QA — Software Analyzed

A Amazon dataset of 10,636 QA pairs in Software, 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 Software. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

10.6K records2016

Facebook Northwestern25 Network (FB100) Analyzed

A Facebook (Northwestern25, September 2005) dataset of 10,567 users and 488,337 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (82 unique), dorm (76 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1046, major homophily: 0.0833.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

10.6K records10.6K nodes488.3K edges2012

Facebook Mississippi66 Network (FB100) Analyzed

A Facebook (Mississippi66, September 2005) dataset of 10,521 users and 610,911 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (55 unique), dorm (52 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1137, major homophily: 0.0403.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

10.5K records10.5K nodes610.9K edges2012

TUAW Blog Post Dataset Analyzed

A TUAW (The Unofficial Apple Weblog) dataset of 10,485 blog posts, collected by Agarwal, Tang, Liu, and Yu via TUAW crawl (2004-2007). Each record contains blog post title, text, author, categories, publication date, inlinks, outlinks, and comment counts. The dataset is notable for its blog dataset with rich metadata, representing a closed community of Apple-focused bloggers. Intended for research into influential blogger identification, blog post analysis, text classification, and influence modeling.

10.5K records10.5K nodes2008

Voat — v/religion Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,778 submissions, 7,662 comments, 2,216 users, 3,799 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/religion, covering its full lifetime on the platform (2013–2020). Includes all 2,778 submissions and 7,662 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

10.4K records2.2K nodes3.8K edges2022

BlogCatalog (v3) Friendship + Group Network Analyzed

A BlogCatalog (v3) dataset of 10,312 bloggers and 333,983 friendship edges, collected by Agarwal et al. / Tang & Liu via BlogCatalog crawl. Each record contains blogger-blogger friendship edges, user IDs and group memberships. The dataset is notable for its blogosphere friendship network from BlogCatalog, used for familiar stranger detection and latent social dimensions research. Intended for research into social network analysis, community detection, group membership prediction, and blogosphere structure studies.

10.3K records10.3K nodes334K edges2009

Stack Exchange — languagelearning.stackexchange.com Analyzed

A Stack Exchange (languagelearning.stackexchange.com) dataset of 1,009 users, 1,650 answer-collaboration edges, 1,396 questions, 2,140 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 languagelearning.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..

10.2K records1K nodes1.6K edges2025

Voat — v/History Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,677 submissions, 6,777 comments, 1,940 users, 3,996 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/History, covering its full lifetime on the platform (2013–2020). Includes all 3,677 submissions and 6,777 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

10.2K records1.9K nodes4K edges2022

CrisisLex Ontopic — 2013_Queensland_Floods Analyzed

A Twitter dataset of 10,033 tweets (0 on-topic, 10,033 off-topic), collected by Olteanu et al. via crowdsourcing for the Queensland Floods 2013 crisis. Each record contains tweet text, on-topic/off-topic label (crowdsourced majority voting), crisis type, country, year. The dataset is notable for its tweets from the Queensland Floods 2013 crisis, labeled by crowdsourcing workers for on-topic/off-topic classification with majority voting from at least 3 workers per tweet. Intended for research into crisis informatics, tweet filtering, on-topic detection, information extraction, crowdsourcing evaluation, event detection, situation awareness.

10K records2014

CrisisLex Ontopic — 2013_Alberta_Floods Analyzed

A Twitter dataset of 10,031 tweets (0 on-topic, 10,031 off-topic), collected by Olteanu et al. via crowdsourcing for the Alberta Floods 2013 crisis. Each record contains tweet text, on-topic/off-topic label (crowdsourced majority voting), crisis type, country, year. The dataset is notable for its tweets from the Alberta Floods 2013 crisis, labeled by crowdsourcing workers for on-topic/off-topic classification with majority voting from at least 3 workers per tweet. Intended for research into crisis informatics, tweet filtering, on-topic detection, information extraction, crowdsourcing evaluation, event detection, situation awareness.

10K records2014