Graph

901 datasets tagged as the data type “Graph”.

901 datasets — page 12 of 19.

Stack Exchange — bricks.stackexchange.com Analyzed

A Stack Exchange (bricks.stackexchange.com) dataset of 3,657 users, 6,018 answer-collaboration edges, 4,667 questions, 7,316 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 bricks.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..

31.2K records3.7K nodes6K edges2025

Voat — v/askgoat Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 4,120 submissions, 28,400 comments, 3,539 users, 15,355 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/askgoat, covering its full lifetime on the platform (2013–2020). Includes all 4,120 submissions and 28,400 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

31K records3.5K nodes15.4K edges2022

Stack Exchange — devops.stackexchange.com Analyzed

A Stack Exchange (devops.stackexchange.com) dataset of 4,196 users, 5,632 answer-collaboration edges, 5,688 questions, 7,309 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from devops.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..

30.9K records4.2K nodes5.6K edges2025

Linux Kernel Call Graph Analyzed

A Linux kernel source code (function call graph) dataset of 30,837 nodes and 213,954 edges, collected by KONECT via static analysis of Linux kernel. Each record contains directed: True, weighted: False. Directed call graph of the Linux kernel — nodes are functions, edges are function calls.. Suitable for software network analysis, dependency network research, community detection.

30.8K records30.8K nodes214K edges2013

Facebook UIllinois20 Network (FB100) Analyzed

A Facebook (UIllinois20, September 2005) dataset of 30,809 users and 1,264,428 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (49% male, 51% female), graduation year, major (169 unique), dorm (155 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: 0.1127, major homophily: 0.0504.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

30.8K records30.8K nodes1.3M edges2012

Stack Exchange — materials.stackexchange.com Analyzed

A Stack Exchange (materials.stackexchange.com) dataset of 1,106 users, 2,902 answer-collaboration edges, 3,915 questions, 4,237 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 materials.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..

30.7K records1.1K nodes2.9K edges2025

Voat — v/TIL Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 5,042 submissions, 27,907 comments, 6,072 users, 16,367 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/TIL, covering its full lifetime on the platform (2013–2020). Includes all 5,042 submissions and 27,907 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

30.5K records6.1K nodes16.4K edges2022

Facebook Michigan23 Network (FB100) Analyzed

A Facebook (Michigan23, September 2005) dataset of 30,147 users and 1,176,516 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (154 unique), dorm (105 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: 0.0753, major homophily: 0.0606.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

30.1K records30.1K nodes1.2M edges2012

Stack Exchange — genealogy.stackexchange.com Analyzed

A Stack Exchange (genealogy.stackexchange.com) dataset of 2,329 users, 4,090 answer-collaboration edges, 3,727 questions, 6,076 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 genealogy.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..

30.1K records2.3K nodes4.1K edges2025

Facebook Indiana69 Network (FB100) Analyzed

A Facebook (Indiana69, September 2005) dataset of 29,747 users and 1,305,765 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (54% male, 46% female), graduation year, major (152 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: 0.0151, major homophily: 0.0436.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

29.7K records29.7K nodes1.3M edges2012

Manosphere Dataset — Love-Shy Analyzed

A Manosphere forum (Love-Shy) dataset of 29,232 posts from 826 unique authors on Love-Shy, collected by Ribeiro et al. via web crawl (2021). Each record contains post text (text_post), author (author), timestamp, post metadata. 29,232 posts from Love-Shy — part of the Evolution of the Manosphere dataset covering incel, MGTOW, PUA, and related anti-feminist communities across 9 forums. Suitable for manosphere discourse analysis, incel radicalization research, hate speech detection, community evolution, misogynistic content analysis, toxicity measurement.

29.2K records827 nodes826 edges2021

Voat — v/Hiddenlol Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,387 submissions, 29,301 comments, 2,726 users, 10,259 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/hiddenlol, covering its full lifetime on the platform (2013–2020). Includes all 3,387 submissions and 29,301 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

28.7K records2.7K nodes10.3K edges2022

Haggle Human Contact Network Analyzed

Contacts between people measured by small wireless devices they carried, from the Haggle project (Chaintreau et al.), as distributed by KONECT (contact): 28,244 timestamped contacts among 274 people, forming 2,124 distinct pairs. An edge means two people's devices were within range of each other; timestamps are relative and the records span about four days. Useful for opportunistic networking, temporal network analysis and epidemic modelling on human contact data.

28.2K records274 nodes2.1K edges2007

arXiv hep-ph Co-authorship Network Analyzed

The co-authorship network of the arXiv High Energy Physics – Phenomenology (hep-ph) section, as distributed by KONECT (ca-cit-HepPh), from SNAP's arXiv data: 28,093 authors linked by 4,596,803 collaboration records, one for each pair of authors on a paper, published between March 1992 and March 2002. The records form 3,148,447 distinct co-author pairs, each timestamped with its paper's date. Useful for studying scientific collaboration, the growth and densification of networks over time, and community structure.

28.1K records28.1K nodes3.1M edges2007

Linux Kernel Mailing List Reply Network Analyzed

A Linux Kernel Mailing List (LKML) — open source development community dataset of 27,927 nodes and 242,976 edges, collected by Ingo Scholtes et al. via mailing list archive. Each record contains directed: True, weighted: True, signed: False, temporal: True. Temporal directed reply network of the Linux Kernel Mailing List — one of the longest-running and most active open source development communities. Edges carry Unix timestamps enabling longitudinal analysis.. Suitable for temporal network analysis, community detection, open source collaboration.

27.9K records27.9K nodes243K edges2015

Facebook Pages — Media Category (Nov 2017) Analyzed

A Facebook dataset of 27,917 pages, 206,259 mutual likes, collected by Rozemberczki et al. via the Facebook Graph API (November 2017). Each record contains undirected edges between blue verified Facebook media pages that mutually liked each other, with node attributes including page name and raw Facebook ID. Graph of blue verified Facebook media pages, where edges represent mutual likes between pages, capturing how users discover and engage with media and news content. Suitable for community detection in social networks, graph embedding, media influence analysis, news consumption studies, journalism and media network analysis.

27.9K records27.9K nodes206.3K edges2019

arXiv HEP-TH Citation Network Analyzed

A arXiv High Energy Physics — Theory (1991–2003) dataset of 27,770 nodes and 352,807 edges, collected by J. Leskovec et al. via arXiv. Each record contains directed: True, weighted: False. Citation network of HEP-TH papers on arXiv — directed, covers theoretical physics literature.. Suitable for citation network analysis, academic influence, graph mining.

27.8K records27.8K nodes352.8K edges2007

Facebook FSU53 Network (FB100) Analyzed

A Facebook (FSU53, September 2005) dataset of 27,737 users and 1,034,802 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (58% male, 42% female), graduation year, major (138 unique), dorm (134 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: 0.0393, major homophily: 0.0429.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

27.7K records27.7K nodes1M edges2012

Stack Exchange — portuguese.stackexchange.com Analyzed

A Stack Exchange (portuguese.stackexchange.com) dataset of 1,353 users, 2,956 answer-collaboration edges, 2,520 questions, 4,400 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 portuguese.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..

27.6K records1.4K nodes3K edges2025

Stack Exchange — hardwarerecs.stackexchange.com Analyzed

A Stack Exchange (hardwarerecs.stackexchange.com) dataset of 2,641 users, 3,472 answer-collaboration edges, 4,354 questions, 4,064 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 hardwarerecs.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..

27.3K records2.6K nodes3.5K edges2025

Voat — v/SJWHate Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 5,333 submissions, 23,687 comments, 3,828 users, 12,449 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/SJWHate, covering its full lifetime on the platform (2013–2020). Includes all 5,333 submissions and 23,687 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

27.3K records3.8K nodes12.4K edges2022

Stack Exchange — computergraphics.stackexchange.com Analyzed

A Stack Exchange (computergraphics.stackexchange.com) dataset of 1,955 users, 3,120 answer-collaboration edges, 4,024 questions, 4,126 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 computergraphics.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..

26.7K records2K nodes3.1K edges2025

Stack Exchange — martialarts.stackexchange.com Analyzed

A Stack Exchange (martialarts.stackexchange.com) dataset of 2,074 users, 5,256 answer-collaboration edges, 2,307 questions, 6,874 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 martialarts.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..

26.6K records2.1K nodes5.3K edges2025

Gnutella Network — August 24, 2002 Analyzed

A Gnutella (August 24, 2002) dataset of 26,518 nodes and 65,369 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 24, 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.

26.5K records26.5K nodes65.4K edges2002

CAIDA Internet AS Topology Analyzed

A Internet autonomous system topology (CAIDA, 2007) dataset of 26,475 nodes and 53,381 edges, collected by CAIDA via BGP routing data. Each record contains directed: False, weighted: False. Internet autonomous system (AS) peering network — nodes are AS networks, edges are peering relationships.. Suitable for internet topology analysis, network robustness, community detection.

26.5K records26.5K nodes53.4K edges2007

Wikipedia Edit Bipartite Network Analyzed

Bipartite user–page edit networks from Wikimedia dumps, as distributed by KONECT; each edge is one edit event with its Unix timestamp. The package holds two separate networks: the French Wikinews (edit-frwikinews: 1,408 users, 25,039 pages, 193,618 edits) and the English Wikipedia (edit-enwiki, 1.75 GB: 8,116,897 users, 42,640,545 pages, 572,591,272 edits per KONECT). The node and edge counts and the analytics on this page were computed from the French Wikinews network only. Suitable for wiki collaboration analysis, editor behavior, temporal bipartite networks.

26.4K records26.4K nodes68.7K edges2010

Voat — v/ideasforvoat Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 5,296 submissions, 18,233 comments, 5,954 users, 11,856 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/ideasforvoat, covering its full lifetime on the platform (2013–2020). Includes all 5,296 submissions and 18,233 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

26.1K records6K nodes11.9K edges2022

Voat — v/politicalnews Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 17,135 submissions, 9,733 comments, 1,957 users, 3,783 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/politicalnews, covering its full lifetime on the platform (2013–2020). Includes all 17,135 submissions and 9,733 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

26.1K records2K nodes3.8K edges2022

Voat — v/guns Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 4,383 submissions, 22,038 comments, 3,241 users, 11,636 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/guns, covering its full lifetime on the platform (2013–2020). Includes all 4,383 submissions and 22,038 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

25.4K records3.2K nodes11.6K edges2022

The Spread of Low-Credibility Content by Social Bots (Nature Comms 2018) Analyzed

A Twitter dataset of 25,327 nodes, 629,514 edges, collected by Shao et al. via Hoaxy + Botometer (OSoMe/Indiana University). Each record contains user centralities (betweenness, pagerank), bot scores, retweet graph, user-domain bipartite graph. Retweet network of low-credibility content with per-user bot scores; shows bots systematically amplify misinformation early in diffusion cascades.. Suitable for Bot-mediated misinformation diffusion, social bot impact measurement..

25.3K records25.3K nodes629.5K edges2018

Stack Exchange — substrate.stackexchange.com Analyzed

A Stack Exchange (substrate.stackexchange.com) dataset of 1,304 users, 3,681 answer-collaboration edges, 4,891 questions, 5,362 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 substrate.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..

25.1K records1.3K nodes3.7K edges2025

Math Overflow Temporal Network — All Interactions Analyzed

A Math Overflow (ALL) dataset of 24,818 users and 239,978 temporal edges, collected by Paranjape, Benson, Leskovec via Stack Exchange Data Dump (2017). Each record contains directed temporal edges (all) between users with Unix timestamps. The dataset is notable for its ALL 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.

24.8K records24.8K nodes240K edges2017

Voat — v/WorldToday Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 12,898 submissions, 13,124 comments, 1,885 users, 2,139 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/WorldToday, covering its full lifetime on the platform (2013–2020). Includes all 12,898 submissions and 13,124 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

24.8K records1.9K nodes2.1K edges2022

Facebook Rutgers89 Network (FB100) Analyzed

A Facebook (Rutgers89, September 2005) dataset of 24,580 users and 784,602 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (129 unique), dorm (112 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: 0.0309, major homophily: 0.0585.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

24.6K records24.6K nodes784.6K edges2012

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