Engagement

455 datasets tagged as the topic “Engagement”.

455 datasets — page 7 of 10.

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Voat — v/movies Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 8,458 submissions, 41,142 comments, 8,403 users, 24,105 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/movies, covering its full lifetime on the platform (2013–2020). Includes all 8,458 submissions and 41,142 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

47.3K records8.4K nodes24.1K edges2022

Stack Exchange — 3dprinting.stackexchange.com Analyzed

A Stack Exchange (3dprinting.stackexchange.com) dataset of 3,933 users, 7,014 answer-collaboration edges, 5,735 questions, 8,905 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 3dprinting.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..

46.9K records3.9K nodes7K edges2025

Stack Exchange — elementaryos.stackexchange.com Analyzed

A Stack Exchange (elementaryos.stackexchange.com) dataset of 6,245 users, 7,967 answer-collaboration edges, 8,252 questions, 10,051 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 elementaryos.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..

45.6K records6.2K nodes8K edges2025

Voat — v/milliondollarextreme Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 7,351 submissions, 43,236 comments, 3,637 users, 23,227 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/milliondollarextreme, covering its full lifetime on the platform (2013–2020). Includes all 7,351 submissions and 43,236 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

45.3K records3.6K nodes23.2K edges2022

Stack Exchange — ham.stackexchange.com Analyzed

A Stack Exchange (ham.stackexchange.com) dataset of 3,040 users, 6,574 answer-collaboration edges, 4,734 questions, 8,891 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 ham.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..

43.9K records3K nodes6.6K edges2025

Amazon QA — Office Products Analyzed

A Amazon dataset of 43,608 QA pairs in Office Products, 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 Office Products. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

43.6K records2016

Stack Exchange — woodworking.stackexchange.com Analyzed

A Stack Exchange (woodworking.stackexchange.com) dataset of 2,752 users, 5,610 answer-collaboration edges, 4,134 questions, 7,409 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 woodworking.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..

43.6K records2.8K nodes5.6K edges2025

Voat — v/4chan Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,617 submissions, 44,794 comments, 5,726 users, 18,506 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/4chan, covering its full lifetime on the platform (2013–2020). Includes all 3,617 submissions and 44,794 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

42.5K records5.7K nodes18.5K edges2022

Amazon QA — Beauty Analyzed

A Amazon dataset of 42,422 QA pairs in Beauty, 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 Beauty. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

42.4K records2016

Stack Exchange — opensource.stackexchange.com Analyzed

A Stack Exchange (opensource.stackexchange.com) dataset of 3,715 users, 5,956 answer-collaboration edges, 4,763 questions, 6,882 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 opensource.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..

41.7K records3.7K nodes6K edges2025

SkyTrax Airline Reviews Dataset Analyzed

A SkyTrax dataset of 41,396 airline reviews from 362 airlines, collected by quankiquanki via SkyTrax (2014-2020). Each record contains review text, airline name, traveller type, cabin flown, overall rating, seat comfort, cabin staff, food and beverages, inflight entertainment, ground service, WiFi, value for money, and recommendation status. A comprehensive collection of airline reviews with detailed sub-ratings across multiple service dimensions, enabling granular sentiment analysis and service quality research. Suitable for sentiment analysis, service quality prediction, recommendation systems, customer satisfaction research.

41.4K records2020

Stack Exchange — bioinformatics.stackexchange.com Analyzed

A Stack Exchange (bioinformatics.stackexchange.com) dataset of 2,673 users, 5,559 answer-collaboration edges, 6,093 questions, 7,551 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 bioinformatics.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..

40.6K records2.7K nodes5.6K edges2025

Slack Software Conversations (MSR 2020) Analyzed

A Slack (software development communities) dataset of 40,010 messages across 5 programming language communities, collected by Chattopadhyay et al. for MSR 2020. Each record contains Slack message text, timestamp, speaker (anonymized), thread, community. Multi-community Slack dataset from software development channels, including Elmlang, Clojurians, Python, and Racket communities.. Suitable for conversation analysis, community dynamics, technical communication, linguistic analysis of developer chat.

40K records2020

Higgs Boson Twitter Reply Network Analyzed

A Twitter dataset of 38,918 users and 32,523 directed, weighted reply edges (36,902 replies in all), collected by De Domenico et al. via the Twitter Streaming API around the Higgs boson announcement, 1-7 July 2012. Each record holds the replying user ID, the replied-to user ID and the number of replies between them. Complements the Higgs retweet and mention networks from the same collection. Suitable for information diffusion, scientific communication on social media and reply network structure.

38.9K records38.9K nodes32.5K edges2013

Stack Exchange — lifehacks.stackexchange.com Analyzed

A Stack Exchange (lifehacks.stackexchange.com) dataset of 4,614 users, 9,656 answer-collaboration edges, 3,075 questions, 11,346 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 lifehacks.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..

37.9K records4.6K nodes9.7K edges2025

Stack Exchange — hsm.stackexchange.com Analyzed

A Stack Exchange (hsm.stackexchange.com) dataset of 2,210 users, 4,367 answer-collaboration edges, 4,576 questions, 5,805 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 hsm.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..

37.7K records2.2K nodes4.4K edges2025

Stack Exchange — sports.stackexchange.com Analyzed

A Stack Exchange (sports.stackexchange.com) dataset of 4,209 users, 7,047 answer-collaboration edges, 6,107 questions, 9,016 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 sports.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..

37.7K records4.2K nodes7K edges2025

Stack Exchange — italian.stackexchange.com Analyzed

A Stack Exchange (italian.stackexchange.com) dataset of 1,546 users, 2,893 answer-collaboration edges, 3,785 questions, 5,582 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 italian.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..

36.6K records1.5K nodes2.9K edges2025

Amazon QA — Pet Supplies Analyzed

A Amazon dataset of 36,607 QA pairs in Pet Supplies, 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 Pet Supplies. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

36.6K records2016

Voat — v/anon Analyzed

Posts from v/anon on Voat, from the Voat archive of Mekacher & Papasavva (ICWSM 2022): 7,471 submissions and 32,011 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.

36.4K records2022

Stack Exchange — or.stackexchange.com Analyzed

A Stack Exchange (or.stackexchange.com) dataset of 1,753 users, 4,296 answer-collaboration edges, 4,082 questions, 5,547 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from or.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..

33.1K records1.8K nodes4.3K edges2025

Stack Exchange — opendata.stackexchange.com Analyzed

A Stack Exchange (opendata.stackexchange.com) dataset of 4,162 users, 5,921 answer-collaboration edges, 6,180 questions, 7,265 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 opendata.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..

32.6K records4.2K nodes5.9K edges2025

Stack Exchange — tor.stackexchange.com Analyzed

A Stack Exchange (tor.stackexchange.com) dataset of 4,575 users, 5,884 answer-collaboration edges, 5,792 questions, 7,087 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 tor.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..

32.3K records4.6K nodes5.9K edges2025

Stack Exchange — patents.stackexchange.com Analyzed

A Stack Exchange (patents.stackexchange.com) dataset of 4,098 users, 5,639 answer-collaboration edges, 4,675 questions, 7,197 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 patents.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..

31.8K records4.1K nodes5.6K edges2025

Reddit-V: Virality Prediction Dataset Analyzed

A Reddit (cross-subreddit post collection) dataset of 31,725 posts across 91 subreddits, collected by EL-Amrany via Reddit API. Each record contains post title, subreddit, upvotes, score, upvote ratio, comment count, comment sentiment, title sentiment, image URL/format/dimensions, virality label (binary), and temporal features (hour, day, weekday, month, year). Reddit-V contains 31,725 Reddit posts labeled for virality (12.7% viral), with pre-computed engagement signals and sentiment scores designed for virality prediction benchmarking. Suitable for virality prediction, engagement modeling, multimodal analysis, sentiment analysis, content popularity research, social media classification benchmarks.

31.7K records2024

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

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

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

Amazon QA — Baby Analyzed

A Amazon dataset of 28,933 QA pairs in Baby, 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 Baby. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

28.9K records2016

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

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

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

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

YikYak & Reddit Engagement Dataset Analyzed

A YikYak / Reddit dataset of 26,304 posts with engagement and controversy labels, collected by Riana Doctor via YikYak API and Reddit scraping (2025). Each record contains post text, vote total, comment count, controversy flag, timestamp, user alias, group ID. Dataset combining YikYak-style anonymous posts and Reddit content with explicit engagement and controversy annotations, enabling comparative analysis of controversial content across platforms. Suitable for controversy detection, engagement prediction, content moderation, sentiment analysis, social media dynamics.

26.3K records2025

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

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

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

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

Amazon QA — Musical Instruments Analyzed

A Amazon dataset of 23,322 QA pairs in Musical Instruments, 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 Musical Instruments. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

23.3K records2016

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