Community detection

917 datasets for community detection. Most are inferred from the data: a label field, the title, or the graph itself.

917 datasets — page 13 of 19.

Facebook UGA50 Network (FB100) Analyzed

A Facebook (UGA50, September 2005) dataset of 24,389 users and 1,174,057 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (59% male, 41% female), graduation year, major (218 unique), dorm (67 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: 0.1045, major homophily: 0.0323.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

24.4K records24.4K nodes1.2M edges2012

Stack Exchange — monero.stackexchange.com Analyzed

A Stack Exchange (monero.stackexchange.com) dataset of 2,096 users, 3,667 answer-collaboration edges, 4,460 questions, 5,352 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 monero.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..

24.4K records2.1K nodes3.7K edges2025

Voat — v/JuiceTown Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 6,097 submissions, 20,255 comments, 2,662 users, 5,410 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/JuiceTown, covering its full lifetime on the platform (2013–2020). Includes all 6,097 submissions and 20,255 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

24.4K records2.7K nodes5.4K edges2022

PHEME Rumour Dataset — ferguson Analyzed

Twitter conversations around the Ferguson unrest after the shooting of Michael Brown (August 2014), from the PHEME rumour dataset (Zubiaga, Liakata, Procter, Kochkina and colleagues; the complete release for rumour detection and veracity classification, figshare 6392078): 1,143 threads, each a source tweet and its replies, of which 284 were judged rumours by journalists and 859 not. Every rumour also carries its veracity as later established: 10 true, 8 false and 266 unverified. 24,175 tweets in all, with full tweet JSON. ECHO builds the reply network (22,260 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`.

24.2K records23.7K nodes22.3K edges2018

PHEME Rumour Dataset — sydneysiege Analyzed

Twitter conversations around the Sydney Lindt café siege (December 2014), from the PHEME rumour dataset (Zubiaga, Liakata, Procter, Kochkina and colleagues; the complete release for rumour detection and veracity classification, figshare 6392078): 1,221 threads, each a source tweet and its replies, of which 522 were judged rumours by journalists and 699 not. Every rumour also carries its veracity as later established: 382 true, 86 false and 54 unverified. 23,996 tweets in all, with full tweet JSON. ECHO builds the reply network (22,775 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`.

24K records24.2K nodes22.8K edges2018

Facebook Wisconsin87 Network (FB100) Analyzed

A Facebook (Wisconsin87, September 2005) dataset of 23,842 users and 835,952 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (55% male, 45% female), graduation year, major (265 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: 0.0467, major homophily: 0.0371.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

23.8K records23.8K nodes836K edges2012

Cora Citation Network Analyzed

A Cora machine learning paper database dataset of 23,166 nodes and 91,500 edges, collected by McCallum et al.. Each record contains directed: True, weighted: False. Classic citation network of machine learning papers — one of the most used benchmarks for graph neural network node classification.. Suitable for graph neural networks, node classification, citation network analysis.

23.2K records23.2K nodes91.5K edges2013

Edinburgh Associative Thesaurus Network Analyzed

A Edinburgh Associative Thesaurus (word association study) dataset of 23,132 nodes and 312,310 edges, collected by G.R. Kiss et al.. Each record contains directed: True, weighted: True. Directed word association network from the Edinburgh Associative Thesaurus — edges connect stimulus words to response words.. Suitable for semantic network analysis, word association modeling, NLP.

23.1K records23.1K nodes312.3K edges1973

Facebook Berkeley13 Network (FB100) Analyzed

A Facebook (Berkeley13, September 2005) dataset of 22,937 users and 852,444 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (106 unique), dorm (217 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: 0.0513, major homophily: 0.0588.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

22.9K records22.9K nodes852.4K edges2012

Gnutella Network — August 25, 2002 Analyzed

A Gnutella (August 25, 2002) dataset of 22,687 nodes and 54,705 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 25, 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.

22.7K records22.7K nodes54.7K edges2002

Voat — v/ProtectVoat Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,742 submissions, 19,274 comments, 2,671 users, 7,053 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/ProtectVoat, covering its full lifetime on the platform (2013–2020). Includes all 3,742 submissions and 19,274 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

22.6K records2.7K nodes7.1K edges2022

Stack Exchange — solana.stackexchange.com Analyzed

A Stack Exchange (solana.stackexchange.com) dataset of 2,107 users, 4,172 answer-collaboration edges, 4,695 questions, 5,285 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 solana.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..

22.4K records2.1K nodes4.2K edges2025

Math Overflow Temporal Network — A2Q Analyzed

A Math Overflow (A2Q) dataset of 21,688 users and 90,489 temporal edges, collected by Paranjape, Benson, Leskovec via Stack Exchange Data Dump (2017). Each record contains directed temporal edges (a2q) between users with Unix timestamps. The dataset is notable for its A2Q interaction type from a 6.4-year temporal network of academic Q&A. Intended for research into temporal network analysis, motif discovery, social interaction dynamics, and academic community analysis.

21.7K records21.7K nodes90.5K edges2017

Facebook NYU9 Network (FB100) Analyzed

A Facebook (NYU9, September 2005) dataset of 21,679 users and 715,715 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (60% male, 40% female), graduation year, major (109 unique), dorm (62 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: -0.0031, major homophily: 0.1059.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

21.7K records21.7K nodes715.7K edges2012

Voat — v/Linux Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 5,350 submissions, 16,408 comments, 2,629 users, 7,766 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/Linux, covering its full lifetime on the platform (2013–2020). Includes all 5,350 submissions and 16,408 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

21.7K records2.6K nodes7.8K edges2022

MADOC: Voat / gifs Analyzed

A MADOC (Voat, gifs) dataset of 5,022 users and 11,435 reply edges from 21,573 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.

21.6K records5K nodes11.4K edges2025

Stack Exchange — windowsphone.stackexchange.com Analyzed

A Stack Exchange (windowsphone.stackexchange.com) dataset of 2,452 users, 3,696 answer-collaboration edges, 3,441 questions, 4,586 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 windowsphone.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..

21.5K records2.5K nodes3.7K edges2025

Stack Exchange — cseducators.stackexchange.com Analyzed

A Stack Exchange (cseducators.stackexchange.com) dataset of 1,478 users, 3,504 answer-collaboration edges, 1,208 questions, 4,690 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 cseducators.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..

21.4K records1.5K nodes3.5K edges2025

Facebook Virginia63 Network (FB100) Analyzed

A Facebook (Virginia63, September 2005) dataset of 21,325 users and 698,178 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (44% male, 56% female), graduation year, major (72 unique), dorm (90 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: 0.0671, major homophily: 0.052.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

21.3K records21.3K nodes698.2K edges2012

MADOC: Voat / milliondollarextreme Analyzed

A MADOC (Voat, milliondollarextreme) dataset of 3,063 users and 10,819 reply edges from 21,190 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.

21.2K records3.1K nodes10.8K edges2025

Facebook Maryland58 Network (FB100) Analyzed

A Facebook (Maryland58, September 2005) dataset of 20,871 users and 744,862 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (50% male, 50% female), graduation year, major (97 unique), dorm (82 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: 0.0558, major homophily: 0.052.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

20.9K records20.9K nodes744.9K edges2012

Voat — v/aww Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 5,096 submissions, 19,380 comments, 5,960 users, 11,956 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/aww, covering its full lifetime on the platform (2013–2020). Includes all 5,096 submissions and 19,380 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

20.7K records6K nodes12K edges2022

Facebook UCLA26 Network (FB100) Analyzed

A Facebook (UCLA26, September 2005) dataset of 20,467 users and 747,613 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (197 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: 0.0305, major homophily: 0.0452.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

20.5K records20.5K nodes747.6K edges2012

Stack Exchange — sustainability.stackexchange.com Analyzed

A Stack Exchange (sustainability.stackexchange.com) dataset of 1,650 users, 3,428 answer-collaboration edges, 2,154 questions, 4,294 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 sustainability.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..

20.1K records1.6K nodes3.4K edges2025

Stack Exchange — stackapps.com Analyzed

A Stack Exchange (stackapps.com) dataset of 1,215 users, 1,783 answer-collaboration edges, 2,882 questions, 2,785 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 stackapps.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..

20.1K records1.2K nodes1.8K edges2025

Voat — v/TraditionalWives Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,710 submissions, 17,154 comments, 1,843 users, 5,908 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/traditionalwives, covering its full lifetime on the platform (2013–2020). Includes all 3,710 submissions and 17,154 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

19.8K records1.8K nodes5.9K edges2022

PubMed Network (GCN Benchmark) Analyzed

A PubMed dataset of 19,717 nodes, 44,327 edges, 3 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. PubMed network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.

19.7K records19.7K nodes44.3K edges2016

Facebook BU10 Network (FB100) Analyzed

A Facebook (BU10, September 2005) dataset of 19,700 users and 637,528 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (60% male, 40% female), graduation year, major (166 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: 0.0205, major homophily: 0.069.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

19.7K records19.7K nodes637.5K edges2012

Voat — v/KotakuInAction Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,999 submissions, 16,600 comments, 3,388 users, 9,861 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/KotakuInAction, covering its full lifetime on the platform (2013–2020). Includes all 2,999 submissions and 16,600 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

19.2K records3.4K nodes9.9K edges2022

Stack Exchange — crafts.stackexchange.com Analyzed

A Stack Exchange (crafts.stackexchange.com) dataset of 1,901 users, 3,367 answer-collaboration edges, 2,305 questions, 4,280 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 crafts.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..

19.2K records1.9K nodes3.4K edges2025

arXiv Astro-PH Collaboration Network Analyzed

A arXiv Astrophysics (collaboration network 1992–2003) dataset of 18,771 nodes and 198,050 edges, collected by J. Leskovec et al. via arXiv. Each record contains directed: False, weighted: False. Co-authorship network of astrophysics papers on arXiv — nodes are authors, edges connect co-authors.. Suitable for collaboration network analysis, community detection, academic social networks.

18.8K records18.8K nodes198.1K edges2007

Facebook Cornell5 Network (FB100) Analyzed

A Facebook (Cornell5, September 2005) dataset of 18,660 users and 790,777 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (48% male, 52% female), graduation year, major (104 unique), dorm (133 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: 0.0907, major homophily: 0.0884.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

18.7K records18.7K nodes790.8K edges2012

Political Polarization on Twitter (ICWSM 2015) Analyzed

A Twitter dataset of 18470 nodes, 48365 edges, collected by Nikolov et al. (OSoMe/Indiana University), 2010. Each record contains retweet edgelist, mention edgelist, node political labels (left/right/-). Twitter retweet and mention networks from 2010 with political leaning labels per user; three graph types for polarization analysis.. Suitable for Political polarization, echo chamber detection, social bubble measurement..

18.5K records18.5K nodes48.4K edges2011

Facebook Auburn71 Network (FB100) Analyzed

A Facebook (Auburn71, September 2005) dataset of 18,448 users and 973,918 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (172 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: 0.0946, major homophily: 0.04.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

18.4K records18.4K nodes973.9K edges2012

Facebook UNC28 Network (FB100) Analyzed

A Facebook (UNC28, September 2005) dataset of 18,163 users and 766,800 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (58% male, 42% female), graduation year, major (73 unique), dorm (93 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: 0.0598, major homophily: 0.0469.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

18.2K records18.2K nodes766.8K edges2012

Stack Exchange — poker.stackexchange.com Analyzed

A Stack Exchange (poker.stackexchange.com) dataset of 1,839 users, 3,720 answer-collaboration edges, 2,151 questions, 4,597 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 poker.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..

18K records1.8K nodes3.7K edges2025

Voat — v/PaddysPub Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 8,582 submissions, 10,040 comments, 690 users, 1,786 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/PaddysPub, covering its full lifetime on the platform (2013–2020). Includes all 8,582 submissions and 10,040 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

18K records690 nodes1.8K edges2022

Voat — v/Drudge Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 8,394 submissions, 9,913 comments, 897 users, 896 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/Drudge, covering its full lifetime on the platform (2013–2020). Includes all 8,394 submissions and 9,913 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

18K records897 nodes896 edges2022

Voat — v/theredpill Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 4,002 submissions, 13,526 comments, 2,021 users, 4,426 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/theredpill, covering its full lifetime on the platform (2013–2020). Includes all 4,002 submissions and 13,526 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

17.9K records2K nodes4.4K edges2022

Voat — v/FCDiaspora Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 5,247 submissions, 12,635 comments, 1,175 users, 2,492 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/FCDiaspora, covering its full lifetime on the platform (2013–2020). Includes all 5,247 submissions and 12,635 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

17.6K records1.2K nodes2.5K edges2022

Facebook USC35 Network (FB100) Analyzed

A Facebook (USC35, September 2005) dataset of 17,444 users and 801,853 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (50% male, 50% female), graduation year, major (133 unique), dorm (130 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: 0.0861, major homophily: 0.0797.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

17.4K records17.4K nodes801.9K edges2012

Facebook Oklahoma97 Network (FB100) Analyzed

A Facebook (Oklahoma97, September 2005) dataset of 17,425 users and 892,528 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (157 unique), dorm (58 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: 0.1118, major homophily: 0.0366.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

17.4K records17.4K nodes892.5K edges2012

Facebook UConn91 Network (FB100) Analyzed

A Facebook (UConn91, September 2005) dataset of 17,212 users and 604,870 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (162 unique), dorm (119 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: 0.0118, major homophily: 0.047.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

17.2K records17.2K nodes604.9K edges2012

Facebook UVA16 Network (FB100) Analyzed

A Facebook (UVA16, September 2005) dataset of 17,196 users and 789,321 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (54% male, 46% female), graduation year, major (98 unique), dorm (137 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: 0.0967, major homophily: 0.0521.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

17.2K records17.2K nodes789.3K edges2012

Voat — v/GamerGate Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 4,712 submissions, 13,027 comments, 2,306 users, 4,349 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/GamerGate, covering its full lifetime on the platform (2013–2020). Includes all 4,712 submissions and 13,027 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

17.1K records2.3K nodes4.3K edges2022

Voat — v/VoatStatistics Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 8,252 submissions, 4,099 comments, 1,048 users, 1,181 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/VoatStatistics, covering its full lifetime on the platform (2013–2020). Includes all 8,252 submissions and 4,099 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

17.1K records1K nodes1.2K edges2022

Facebook Tennessee95 Network (FB100) Analyzed

A Facebook (Tennessee95, September 2005) dataset of 16,979 users and 770,659 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (138 unique), dorm (61 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: 0.0543, major homophily: 0.038.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

17K records17K nodes770.7K edges2012

Voat — v/pizzagatewhatever Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 4,041 submissions, 11,284 comments, 1,882 users, 4,527 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/pizzagatewhatever, covering its full lifetime on the platform (2013–2020). Includes all 4,041 submissions and 11,284 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

16.9K records1.9K nodes4.5K edges2022

Math Overflow Temporal Network — C2Q Analyzed

A Math Overflow (C2Q) dataset of 16,836 users and 101,329 temporal edges, collected by Paranjape, Benson, Leskovec via Stack Exchange Data Dump (2017). Each record contains directed temporal edges (c2q) between users with Unix timestamps. The dataset is notable for its C2Q interaction type from a 6.4-year temporal network of academic Q&A. Intended for research into temporal network analysis, motif discovery, social interaction dynamics, and academic community analysis.

16.8K records16.8K nodes101.3K edges2017

Facebook UC33 Network (FB100) Analyzed

A Facebook (UC33, September 2005) dataset of 16,808 users and 522,147 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (55% male, 45% female), graduation year, major (125 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: 0.0205, major homophily: 0.0356.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

16.8K records16.8K nodes522.1K edges2012