Engagement

455 datasets tagged as the topic “Engagement”.

455 datasets — page 6 of 10.

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Stack Exchange — parenting.stackexchange.com Analyzed

A Stack Exchange (parenting.stackexchange.com) dataset of 7,867 users, 18,626 answer-collaboration edges, 6,872 questions, 22,601 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 parenting.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..

89.9K records7.9K nodes18.6K edges2025

Voat — v/pics Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 14,882 submissions, 87,143 comments, 14,833 users, 52,174 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/pics, covering its full lifetime on the platform (2013–2020). Includes all 14,882 submissions and 87,143 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

89.7K records14.8K nodes52.2K edges2022

Stack Exchange — sqa.stackexchange.com Analyzed

A Stack Exchange (sqa.stackexchange.com) dataset of 9,165 users, 20,221 answer-collaboration edges, 11,681 questions, 24,818 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 sqa.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..

88.9K records9.2K nodes20.2K edges2025

Voat — v/Science Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 13,518 submissions, 79,352 comments, 11,533 users, 41,095 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/Science, covering its full lifetime on the platform (2013–2020). Includes all 13,518 submissions and 79,352 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

86.2K records11.5K nodes41.1K edges2022

Stack Exchange — spanish.stackexchange.com Analyzed

A Stack Exchange (spanish.stackexchange.com) dataset of 5,320 users, 12,610 answer-collaboration edges, 9,138 questions, 19,424 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 spanish.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..

85.9K records5.3K nodes12.6K edges2025

Amazon QA — Cell Phones & Accessories Analyzed

A Amazon dataset of 85,865 QA pairs in Cell Phones & Accessories, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Cell Phones & Accessories. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

85.9K records2016

Stack Exchange — chess.stackexchange.com Analyzed

A Stack Exchange (chess.stackexchange.com) dataset of 5,683 users, 16,082 answer-collaboration edges, 8,955 questions, 21,106 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 chess.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..

85.1K records5.7K nodes16.1K edges2025

Stack Exchange — fitness.stackexchange.com Analyzed

A Stack Exchange (fitness.stackexchange.com) dataset of 7,228 users, 15,385 answer-collaboration edges, 10,217 questions, 19,171 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 fitness.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..

84.9K records7.2K nodes15.4K edges2025

Stack Exchange — sound.stackexchange.com Analyzed

A Stack Exchange (sound.stackexchange.com) dataset of 6,955 users, 17,557 answer-collaboration edges, 10,047 questions, 26,050 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 sound.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..

82.4K records7K nodes17.6K edges2025

Stack Exchange — anime.stackexchange.com Analyzed

A Stack Exchange (anime.stackexchange.com) dataset of 8,872 users, 15,025 answer-collaboration edges, 12,374 questions, 19,336 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 anime.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..

81.9K records8.9K nodes15K edges2025

Stack Exchange — sitecore.stackexchange.com Analyzed

A Stack Exchange (sitecore.stackexchange.com) dataset of 3,237 users, 11,407 answer-collaboration edges, 12,980 questions, 16,210 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 sitecore.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..

81K records3.2K nodes11.4K edges2025

Stack Exchange — craftcms.stackexchange.com Analyzed

A Stack Exchange (craftcms.stackexchange.com) dataset of 3,887 users, 11,241 answer-collaboration edges, 14,380 questions, 17,040 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 craftcms.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..

80.9K records3.9K nodes11.2K edges2025

Amazon QA — Health & Personal Care Analyzed

A Amazon dataset of 80,496 QA pairs in Health & Personal Care, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Health & Personal Care. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

80.5K records2016

Voat — v/Worldnews Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 20,237 submissions, 63,811 comments, 7,956 users, 33,170 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/Worldnews, covering its full lifetime on the platform (2013–2020). Includes all 20,237 submissions and 63,811 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

78.8K records8K nodes33.2K edges2022

Voat — v/MeanwhileOnReddit Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 8,241 submissions, 72,721 comments, 11,778 users, 43,492 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/MeanwhileOnReddit, covering its full lifetime on the platform (2013–2020). Includes all 8,241 submissions and 72,721 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

75.3K records11.8K nodes43.5K edges2022

Stack Exchange — expressionengine.stackexchange.com Analyzed

A Stack Exchange (expressionengine.stackexchange.com) dataset of 3,223 users, 11,592 answer-collaboration edges, 12,477 questions, 16,369 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 expressionengine.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..

73.9K records3.2K nodes11.6K edges2025

Stack Exchange — outdoors.stackexchange.com Analyzed

A Stack Exchange (outdoors.stackexchange.com) dataset of 4,273 users, 10,653 answer-collaboration edges, 6,168 questions, 15,078 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 outdoors.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..

73.5K records4.3K nodes10.7K edges2025

Stack Exchange — quantumcomputing.stackexchange.com Analyzed

A Stack Exchange (quantumcomputing.stackexchange.com) dataset of 3,978 users, 9,651 answer-collaboration edges, 11,179 questions, 12,778 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 quantumcomputing.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..

70.2K records4K nodes9.7K edges2025

Stack Exchange — ai.stackexchange.com Analyzed

A Stack Exchange (ai.stackexchange.com) dataset of 6,708 users, 10,407 answer-collaboration edges, 12,380 questions, 12,460 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 ai.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..

68.8K records6.7K nodes10.4K edges2025

YouTube Shorts Dataset: 100,000+ Short-Form Videos Analyzed

A YouTube Shorts dataset of 68,699 short-form video records (metadata only), collected by JamilAL01 via the YouTube Data API (GitHub, 2025). Each record contains video title, description, tags, channel info, category, and engagement metrics (views, likes, comments, duration). metadata-only corpus with no video files — purely textual and categorical fields enabling content and engagement analysis without requiring video storage or processing. Suitable for short-form video trend analysis, content categorization, engagement prediction, and creator behavior modeling.

68.7K records2025

Voat — v/TheDonald Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 14,203 submissions, 58,896 comments, 7,657 users, 32,084 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/TheDonald, covering its full lifetime on the platform (2013–2020). Includes all 14,203 submissions and 58,896 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

68.3K records7.7K nodes32.1K edges2022

Voat — v/HDLunited Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 5,413 submissions, 69,248 comments, 4,003 users, 20,403 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/HDLunited, covering its full lifetime on the platform (2013–2020). Includes all 5,413 submissions and 69,248 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

66.6K records4K nodes20.4K edges2022

Stack Exchange — matheducators.stackexchange.com Analyzed

A Stack Exchange (matheducators.stackexchange.com) dataset of 3,429 users, 9,787 answer-collaboration edges, 3,765 questions, 12,592 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 matheducators.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..

64.1K records3.4K nodes9.8K edges2025

Voat — v/introductions Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 12,382 submissions, 47,518 comments, 17,222 users, 37,102 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/introductions, covering its full lifetime on the platform (2013–2020). Includes all 12,382 submissions and 47,518 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

62.4K records17.2K nodes37.1K edges2022

Voat — v/European Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 13,895 submissions, 49,271 comments, 4,486 users, 22,205 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/European, covering its full lifetime on the platform (2013–2020). Includes all 13,895 submissions and 49,271 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

60.5K records4.5K nodes22.2K edges2022

Stack Exchange — pm.stackexchange.com Analyzed

A Stack Exchange (pm.stackexchange.com) dataset of 6,338 users, 16,323 answer-collaboration edges, 6,398 questions, 19,238 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 pm.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..

60.4K records6.3K nodes16.3K edges2025

Stack Exchange — reverseengineering.stackexchange.com Analyzed

A Stack Exchange (reverseengineering.stackexchange.com) dataset of 5,537 users, 9,002 answer-collaboration edges, 9,681 questions, 11,045 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 reverseengineering.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..

60K records5.5K nodes9K edges2025

Amazon QA — Patio Lawn & Garden Analyzed

A Amazon dataset of 59,595 QA pairs in Patio Lawn & Garden, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Patio Lawn & Garden. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

59.6K records2016

Voat — v/soapdoxbanhammer Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 17,368 submissions, 47,467 comments, 1,963 users, 7,593 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/soapdoxbanhammer, covering its full lifetime on the platform (2013–2020). Includes all 17,368 submissions and 47,467 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

58.5K records2K nodes7.6K edges2022

Stack Exchange — interpersonal.stackexchange.com Analyzed

A Stack Exchange (interpersonal.stackexchange.com) dataset of 4,538 users, 11,478 answer-collaboration edges, 3,929 questions, 14,381 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 interpersonal.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..

58K records4.5K nodes11.5K edges2025

Stack Exchange — earthscience.stackexchange.com Analyzed

A Stack Exchange (earthscience.stackexchange.com) dataset of 4,025 users, 7,037 answer-collaboration edges, 7,117 questions, 8,846 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from earthscience.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..

56.4K records4K nodes7K edges2025

Stack Exchange — pets.stackexchange.com Analyzed

A Stack Exchange (pets.stackexchange.com) dataset of 5,952 users, 10,148 answer-collaboration edges, 8,360 questions, 12,440 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 pets.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..

56.4K records6K nodes10.1K edges2025

Voat — v/music Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 25,680 submissions, 33,410 comments, 7,717 users, 17,094 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/music, covering its full lifetime on the platform (2013–2020). Includes all 25,680 submissions and 33,410 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

56.1K records7.7K nodes17.1K edges2022

Voat — v/gifs Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 8,024 submissions, 56,794 comments, 11,268 users, 32,641 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/gifs, covering its full lifetime on the platform (2013–2020). Includes all 8,024 submissions and 56,794 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

55.4K records11.3K nodes32.6K edges2022

Stack Exchange — expatriates.stackexchange.com Analyzed

A Stack Exchange (expatriates.stackexchange.com) dataset of 4,535 users, 6,099 answer-collaboration edges, 7,861 questions, 7,946 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 expatriates.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..

54.1K records4.5K nodes6.1K edges2025

Voat — v/AnonTalk Analyzed

Posts from v/AnonTalk on Voat, from the Voat archive of Mekacher & Papasavva (ICWSM 2022): 10,459 submissions and 47,670 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.

53.9K records2022

Stack Exchange — avp.stackexchange.com Analyzed

A Stack Exchange (avp.stackexchange.com) dataset of 6,689 users, 9,259 answer-collaboration edges, 9,182 questions, 11,332 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 avp.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..

53.1K records6.7K nodes9.3K edges2025

Voat — v/Showerthoughts Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 8,902 submissions, 45,273 comments, 6,641 users, 27,324 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/Showerthoughts, covering its full lifetime on the platform (2013–2020). Includes all 8,902 submissions and 45,273 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

53K records6.6K nodes27.3K edges2022

Stack Exchange — latin.stackexchange.com Analyzed

A Stack Exchange (latin.stackexchange.com) dataset of 2,307 users, 5,280 answer-collaboration edges, 6,484 questions, 9,333 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 latin.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..

52.6K records2.3K nodes5.3K edges2025

Stack Exchange — joomla.stackexchange.com Analyzed

A Stack Exchange (joomla.stackexchange.com) dataset of 3,341 users, 7,652 answer-collaboration edges, 7,775 questions, 10,727 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 joomla.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..

52.5K records3.3K nodes7.7K edges2025

Stack Exchange — russian.stackexchange.com Analyzed

A Stack Exchange (russian.stackexchange.com) dataset of 3,171 users, 8,366 answer-collaboration edges, 4,705 questions, 11,992 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 russian.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..

52.4K records3.2K nodes8.4K edges2025

Stack Exchange — cogsci.stackexchange.com Analyzed

A Stack Exchange (cogsci.stackexchange.com) dataset of 4,150 users, 6,301 answer-collaboration edges, 8,053 questions, 8,390 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 cogsci.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..

52.2K records4.2K nodes6.3K edges2025

Amazon QA — Toys & Games Analyzed

A Amazon dataset of 51,486 QA pairs in Toys & Games, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Toys & Games. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

51.5K records2016

Slashdot Discussion Thread Network Analyzed

A Slashdot (technology news discussion forum) dataset of 51,083 nodes and 131,175 edges, collected by KONECT via Slashdot crawl. Each record contains directed: True, weighted: True, temporal: True. Directed reply network of Slashdot discussion threads — different from the Slashdot Zoo signed network, this captures comment reply structure.. Suitable for discussion thread analysis, online community structure, reply network analysis.

51.1K records51.1K nodes131.2K edges2008

Stack Exchange — homebrew.stackexchange.com Analyzed

A Stack Exchange (homebrew.stackexchange.com) dataset of 3,985 users, 10,965 answer-collaboration edges, 6,179 questions, 14,159 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 homebrew.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..

50.5K records4K nodes11K edges2025

Stack Exchange — health.stackexchange.com Analyzed

A Stack Exchange (health.stackexchange.com) dataset of 3,692 users, 5,430 answer-collaboration edges, 7,930 questions, 6,673 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 health.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..

50.4K records3.7K nodes5.4K edges2025

Voat — v/WTF Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 8,037 submissions, 48,414 comments, 7,630 users, 27,404 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/WTF, covering its full lifetime on the platform (2013–2020). Includes all 8,037 submissions and 48,414 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

50K records7.6K nodes27.4K edges2022

Stack Exchange — tridion.stackexchange.com Analyzed

A Stack Exchange (tridion.stackexchange.com) dataset of 1,397 users, 6,518 answer-collaboration edges, 7,376 questions, 10,672 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 tridion.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..

50K records1.4K nodes6.5K edges2025

Voat — v/Identitarian Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 9,712 submissions, 41,626 comments, 3,345 users, 20,765 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/Identitarian, covering its full lifetime on the platform (2013–2020). Includes all 9,712 submissions and 41,626 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

49.1K records3.3K nodes20.8K edges2022

Stack Exchange — literature.stackexchange.com Analyzed

A Stack Exchange (literature.stackexchange.com) dataset of 2,793 users, 4,729 answer-collaboration edges, 6,780 questions, 7,588 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 literature.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..

47.6K records2.8K nodes4.7K edges2025