En

1108 datasets tagged as the language “En”.

1,108 datasets — page 15 of 23.

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

Yelp CBA: Computational Branding Analytics Analyzed

Yelp coffee-shop reviews for computational branding analytics (Wang, Lin & Kominek, EMNLP 2013): 17,894 reviews in train (10,495), dev (3,617) and test (3,782) splits. Each row holds the brand (Starbucks, Dunkin', other), satisfaction (negative, positive, neutral), the reviewer's gender (missing as '?' in some rows), US region, and the review text. There are no review, business or date fields. Research use only, per the README.

17.9K records2013

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

Escorts Review Network Analyzed

A Escort review website (sex worker review community) dataset of 16,730 nodes and 39,044 edges, collected by Rocha et al. via web crawl. Each record contains directed: False, weighted: True, signed: True, temporal: True. Bipartite signed network of escort reviews: clients rate escorts +1 (positive), 0 (neutral), or -1 (negative), with Unix timestamps. One of the few large-scale signed bipartite networks available.. Suitable for signed network analysis, bipartite network analysis, trust propagation.

16.7K records16.7K nodes39K edges2010

Facebook UMass92 Network (FB100) Analyzed

A Facebook (UMass92, September 2005) dataset of 16,516 users and 519,385 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (115 unique), dorm (73 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: -0.0461, major homophily: 0.0669.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

16.5K records16.5K nodes519.4K edges2012

Stack Exchange — freelancing.stackexchange.com Analyzed

A Stack Exchange (freelancing.stackexchange.com) dataset of 2,229 users, 4,004 answer-collaboration edges, 2,017 questions, 4,750 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 freelancing.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..

16.5K records2.2K nodes4K edges2025

CrisisMMD: All 7 Events (Cumulative) Analyzed

A Twitter dataset of 16,057 tweets across 7 crisis events referencing 17,465 images by URL, collected by Alam et al. for 7 major natural disasters in 2017. Each record contains tweet text, engagement metrics (retweets, favorites, replies, quotes), user metadata, media attachments, crisis code. The dataset is notable for its Systematically collected multimodal dataset of 7 natural disasters with full Twitter API metadata. Cumulative version combines all events into a single corpus. Intended for research into crisis informatics, multimodal learning, disaster response, image classification, tweet filtering, cross-event engagement analysis. This copy (the SocialED redistribution) holds the tweet objects only: the images are referenced by URL and the image files are not included, and neither are CrisisMMD's human annotations (informativeness, humanitarian category, damage severity).

16.1K records2018

CFinder Web Graph Analyzed

A Google web graph subset dataset of 15,763 nodes and 171,206 edges, collected by KONECT. Each record contains directed: True, weighted: False. Web hyperlink graph used with the CFinder community detection tool.. Suitable for community detection, web graph analysis.

15.8K records15.8K nodes171.2K edges2007

Stack Exchange — iot.stackexchange.com Analyzed

A Stack Exchange (iot.stackexchange.com) dataset of 1,601 users, 2,223 answer-collaboration edges, 2,259 questions, 2,729 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 iot.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..

15.7K records1.6K nodes2.2K edges2025

Voat — v/TruthHurts Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 7,356 submissions, 8,379 comments, 586 users, 916 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/truthhurts, covering its full lifetime on the platform (2013–2020). Includes all 7,356 submissions and 8,379 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

15.5K records586 nodes916 edges2022

Facebook MU78 Network (FB100) Analyzed

A Facebook (MU78, September 2005) dataset of 15,436 users and 649,449 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (111 unique), dorm (86 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: 0.1212, major homophily: 0.0468.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

15.4K records15.4K nodes649.4K edges2012

Voat — v/IslamUnveiled Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 5,126 submissions, 11,073 comments, 2,015 users, 3,492 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/IslamUnveiled, covering its full lifetime on the platform (2013–2020). Includes all 5,126 submissions and 11,073 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

15.3K records2K nodes3.5K edges2022

Facebook Harvard1 Network (FB100) Analyzed

A Facebook (Harvard1, September 2005) dataset of 15,126 users and 824,617 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (46% male, 54% female), graduation year, major (59 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: 0.0582, major homophily: 0.0528.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

15.1K records15.1K nodes824.6K edges2012

YouTube Social Network v1 Analyzed

A multi-dimensional YouTube network crawled in December 2008 at Arizona State University (Tang & Liu), from the ASU Social Computing Data Repository: 15,088 active users and five weighted, undirected interaction layers with 13,628,895 edges in all. The layers are contacts (76,765), shared friends (1,940,806), shared subscriptions (5,574,249), shared subscribers (2,239,440) and shared favourite videos (3,797,635); each pair is listed once. Suitable for multi-layer network analysis and community detection.

15.1K records15.1K nodes13.6M edges2009

Meneame Media Bias Dataset Analyzed

A Meneame dataset of 14,995 articles, 20,000 comments, 45,392 users, collected by Meneame Media Bias Team. Each record contains article title, text, bias labels, sentiment, emotion scores, karma features, user-outlet graph. Spanish social news aggregator dataset with media bias labels and rich interaction features. Suitable for media bias detection, sentiment analysis, social news dynamics, graph analysis.

15K records49.6K nodes519.5K edges2026

Facebook UCSD34 Network (FB100) Analyzed

A Facebook (UCSD34, September 2005) dataset of 14,948 users and 443,221 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (54% male, 46% female), graduation year, major (109 unique), dorm (39 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: 0.0321.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

14.9K records14.9K nodes443.2K edges2012

Facebook UCF52 Network (FB100) Analyzed

A Facebook (UCF52, September 2005) dataset of 14,940 users and 428,989 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 (86 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: 0.0288, major homophily: 0.0314.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

14.9K records14.9K nodes429K edges2012

Facebook UCSB37 Network (FB100) Analyzed

A Facebook (UCSB37, September 2005) dataset of 14,935 users and 482,224 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (57% male, 43% female), graduation year, major (113 unique), dorm (74 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: -0.0032, major homophily: 0.0401.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

14.9K records14.9K nodes482.2K edges2012

Facebook UPenn7 Network (FB100) Analyzed

A Facebook (UPenn7, September 2005) dataset of 14,916 users and 686,501 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (49% male, 51% female), graduation year, major (120 unique), dorm (64 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: 0.0906, major homophily: 0.0539.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

14.9K records14.9K nodes686.5K edges2012

Stack Exchange — cardano.stackexchange.com Analyzed

A Stack Exchange (cardano.stackexchange.com) dataset of 1,372 users, 3,045 answer-collaboration edges, 2,743 questions, 3,828 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 cardano.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..

14.9K records1.4K nodes3K edges2025

Voat — v/gamingfringe Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 4,720 submissions, 7,061 comments, 1,225 users, 1,310 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/gamingfringe, covering its full lifetime on the platform (2013–2020). Includes all 4,720 submissions and 7,061 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

14.4K records1.2K nodes1.3K edges2022

Stack Exchange — musicfans.stackexchange.com Analyzed

A Stack Exchange (musicfans.stackexchange.com) dataset of 2,069 users, 2,724 answer-collaboration edges, 2,276 questions, 3,440 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 musicfans.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..

14.3K records2.1K nodes2.7K edges2025

Facebook Pages — Company Category (Nov 2017) Analyzed

A Facebook dataset of company page mutual-like edges from November 2017, collected by Rozemberczki et al. via the Facebook Graph API. Each record contains undirected edges between company pages that mutually liked each other, with node attributes including page name and category. undirected structure capturing symmetric inter-company endorsement relationships across multiple industries. Suitable for corporate social media behavior, community detection, and undirected social network analysis.

14.1K records14.1K nodes52.3K edges2019

Voat — v/voatdev Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,080 submissions, 9,518 comments, 1,927 users, 3,875 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/voatdev, covering its full lifetime on the platform (2013–2020). Includes all 3,080 submissions and 9,518 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

14.1K records1.9K nodes3.9K edges2022

Stack Exchange — mythology.stackexchange.com Analyzed

A Stack Exchange (mythology.stackexchange.com) dataset of 1,222 users, 2,111 answer-collaboration edges, 2,038 questions, 3,064 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 mythology.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..

14.1K records1.2K nodes2.1K edges2025

Facebook JMU79 Network (FB100) Analyzed

A Facebook (JMU79, September 2005) dataset of 14,070 users and 485,564 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (64% male, 36% female), graduation year, major (86 unique), dorm (69 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: -0.0091, major homophily: 0.0534.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

14.1K records14.1K nodes485.6K edges2012

Voat — v/confessions Analyzed

Posts from v/confessions on Voat, from the Voat archive of Mekacher & Papasavva (ICWSM 2022): 2,182 submissions and 12,419 comments with their text, votes and dates. The archive did not recover the author of almost any post in this subverse, so the entry has no user or reply graph. Suitable for studying anonymous posting, topic modelling and moderation.

13.9K records2022

Facebook Northeastern19 Network (FB100) Analyzed

A Facebook (Northeastern19, September 2005) dataset of 13,882 users and 381,934 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (79 unique), dorm (71 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: -0.006, major homophily: 0.0974.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

13.9K records13.9K nodes381.9K edges2012

Facebook Pages — Sport Category (Nov 2017) Analyzed

A Facebook dataset of 13,866 pages, 86,858 mutual likes, collected by Rozemberczki et al. via the Facebook Graph API (November 2017). Each record contains undirected edges between blue verified Facebook sport pages that mutually liked each other, with node attributes including page name and raw Facebook ID. Graph of blue verified Facebook sport pages, where edges represent mutual likes between pages, capturing how fans engage with sports teams, athletes, and sporting content. Suitable for community detection in social networks, graph embedding, sports fan engagement analysis, team rivalry studies, sports media and fandom network analysis.

13.9K records13.9K nodes86.9K edges2019

Math Overflow Temporal Network — C2A Analyzed

A Math Overflow (C2A) dataset of 13,840 users and 81,121 temporal edges, collected by Paranjape, Benson, Leskovec via Stack Exchange Data Dump (2017). Each record contains directed temporal edges (c2a) between users with Unix timestamps. The dataset is notable for its C2A 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.

13.8K records13.8K nodes81.1K edges2017

COVID-19 Misinformation Videos Dataset Analyzed

A YouTube (with cross-platform spread on Twitter and Facebook) dataset of 7,659 removed YouTube videos with multilingual titles and descriptions, 249,346 associated tweets, and 18,897,277 Facebook shares, collected by Knuutila (2021) via YouTube Data API and CrowdTangle, tracking videos shared on public social media that were subsequently removed by YouTube for COVID-19 misinformation. Each record contains video titles and descriptions in multiple languages, view counts and subscriber counts where recoverable, Facebook reactions/comments/shares, Twitter and Facebook post ID lists for social spread tracking, removal and publication timestamps, and Wayback Machine archive URLs. The dataset is notable for its one of the few public datasets documenting the complete lifecycle of platform-removed health misinformation, linking video metadata to cross-platform social spread and enabling research into both content and dissemination patterns of COVID-19 misinformation. Intended for research into health misinformation detection, content moderation research, cross-platform information spread analysis, COVID-19 infodemic studies, multilingual misinformation narrative analysis, and platform policy impact assessment.

13.8K records2021