A Reddit (Pushshift archive, 2015-05) dataset of 51,044,924 comments and 30,057,706 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 48,409 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2015-05 — full comment text, reply graph, and engagement metrics across 48,409 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Manufacturing company internal email system (Poland) dataset of 167 nodes and 5,784 edges, collected by Michalski et al. via corporate email logs. Each record contains directed: True, weighted: True, signed: False, temporal: True. Temporal directed email communication network of 167 employees at a manufacturing company over 10 months, with Unix timestamps per message. Useful for studying organizational communication patterns.. Suitable for organizational network analysis, temporal email networks, community detection. The file holds 82,927 e-mails, one row per message; the edge count of 5,784 counts distinct pairs.
A 4chan /pol/ (Politically Incorrect board) dataset of 134,529,233 posts across 3,397,911 threads (4,894,179 with 7-score Perspective API annotations), collected by Papasavva et al. via 4chan API + Perspective API (2020). Each record contains post text (com), thread ID, post number, country, timestamp, image metadata, 7 Perspective API scores (TOXICITY, SEVERE_TOXICITY, INFLAMMATORY, PROFANITY, INSULT, OBSCENE, SPAM), named entities. 134,529,233 4chan /pol/ posts with per-post Perspective API toxicity scores across 7 dimensions — one of the most comprehensively annotated fringe platform datasets covering 3.5 years of /pol/ discourse. Suitable for toxicity measurement, hate speech analysis, fringe platform research, political discourse on imageboards, cross-platform toxicity comparison, longitudinal hate speech trends.
A Reactome biological pathway database dataset of 6,327 nodes and 147,547 edges, collected by Reactome consortium. Each record contains directed: False, weighted: False, signed: False. Protein-protein interaction network from the Reactome pathway database — large-scale biological network.. Suitable for biological network analysis, community detection, protein interaction research.
A ReCOVery (news credibility repository) dataset of 2,029 news articles with reliability labels and social media engagement, collected by Zhou, Mulay, Ferrara, and Zafarani via news websites and Twitter (2020). Each record contains news article title and body, reliability label (1=reliable, 0=unreliable), publisher, political bias, country, author, and social media engagement data. The dataset is notable for its multimodal repository combining news content with social media engagement, designed for COVID-19 news credibility research. Intended for research into fake news detection, credibility assessment, political bias analysis, and multimodal misinformation research.
A Reddit dataset of 297,132 utterances from 119,889 speakers across 100 subreddits, collected by Cornell University via ConvoKit. Each record contains utterance text, speaker, conversation thread, subreddit. Conversation corpus from 100 active subreddits with thread structure. Suitable for conversation analysis, community dynamics, discourse analysis.
A Reddit dataset of 8,035,392 comments across 6 financial subreddits, 2008–2020, collected by Zenodo contributor via Pushshift Reddit API. Each record contains body text, subreddit, author, created_date, year, readability metrics (Fog index, avg words/sentence, avg syllables/word). 8M+ Reddit comments from r/personalfinance, r/Frugal, r/Economics, r/business, r/investing, and r/financialindependence spanning 2008–2020, pre-annotated with Gunning Fog readability scores.. Suitable for Financial discourse analysis, readability research, community language evolution, NLP on financial social media..
A Reddit (r/funny, r/pics, r/gifs and other popular subreddits) dataset of 132,214 Reddit posts across 837 subreddits with full comment threads, collected by Web scraper collecting top Reddit posts circa 2012. Each record contains post ID, subreddit, post title, upvotes, downvotes, submission timestamp, and full comment text for each thread. Complete HTML snapshots of 132,214 Reddit threads from ~2012, preserving the full discussion including post content, comment trees, and engagement metrics across 837 subreddits.. Suitable for community detection, Reddit discussion analysis, social engagement modeling, comment thread structure, subreddit community behavior.
A Reddit dataset of 35,776 subreddits and 286,561 directed hyperlinks (265,491 positive sentiment, 21,070 negative sentiment) from post hyperlinks embedded in post bodies, collected by Kumar et al. via Reddit API, January 2014 to April 2017, distributed by SNAP. Each record contains directed edges from source to target subreddit with binary sentiment label (+1/-1) and 86-dimension text property vector; post ID and timestamp per edge. captures cross-community interaction and conflict on Reddit with sentiment polarity per hyperlink, enabling study of how communities reference each other positively vs. antagonistically over time. Suitable for community conflict detection, cross-community interaction modeling, signed network analysis, temporal network analysis, and online community dynamics research.
A Reddit dataset of 54,075 subreddits and 571,927 directed hyperlinks (510,787 positive sentiment, 61,140 negative sentiment) from post hyperlinks embedded in post titles, collected by Kumar et al. via Reddit API, January 2014 to April 2017, distributed by SNAP. Each record contains directed edges from source to target subreddit with binary sentiment label (+1/-1) and 86-dimension text property vector; post ID and timestamp per edge. captures cross-community interaction and conflict on Reddit with sentiment polarity per hyperlink, enabling study of how communities reference each other positively vs. antagonistically over time. Suitable for community conflict detection, cross-community interaction modeling, signed network analysis, temporal network analysis, and online community dynamics research.
A Reddit (r/teaching community) dataset of 1,304,575 comments from r/teaching with 5-class sentiment scores, pre/post COVID labels (438,027 pre, 866,548 post), and relational language detection, collected by Cai et al. via Reddit API (2024). Each record contains comment text, post title, post selftext, created_utc, score, reply_count, pandemic_period (0=pre/1=post COVID), predicted_rating (1-5), normalized_sentiment (-1 to +1), contains_relational_word, sentiment_probabilities. 1,304,575 r/teaching comments with fine-grained 5-class sentiment analysis spanning pre/post COVID — enabling longitudinal study of how teaching community discourse and emotional tone shifted during the pandemic. Suitable for community sentiment analysis, COVID-19 discourse shifts, longitudinal NLP, education community research, relational language detection, sentiment classification.
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.
A RoadNet dataset of 1,921,660 roads, collected by Network Repository. Each record contains road intersections. Texas road network. Suitable for infrastructure analysis, network science.
A Multiple Platforms dataset of 2,469,836 posts, 26,496,468 responses across 5 platforms, collected by Peixian and Zhang. Each record contains platform, posts, responses, op_gender, responder_gender, sentiment, relevance. Cumulative rtGender dataset combining all platforms for cross-platform gender analysis. Suitable for cross-platform gender analysis, sentiment comparison, response prediction.
A Facebook Congress dataset of 548,341 posts, 13,866,507 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Facebook Congress — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
A Facebook Wiki dataset of 149,448 posts, 10,667,500 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Facebook Wiki — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
A Fitocracy dataset of 318,535 posts, 318,535 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Fitocracy — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
A Reddit dataset of 1,453,512 posts, 1,453,512 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Reddit — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
A TED dataset of 0 posts, 190,414 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for TED — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
A Telegram (German-language conspiracy channels) dataset of 63,908,365 messages from 4,404 unique channels, collected by Hagen, Wiencierz, and Freudenthaler via Telegram API. Each record contains message UUID, channel name, author, reply structure, conspiracy label, language, media type (photo/video/voice), audio/video duration, forwarding metadata, duplicate flag. Schwurbelarchiv is a large-scale German Telegram corpus with 3.1% of messages labeled as conspiracy content, 23.8% reply edges enabling thread analysis, and rich media metadata across 4,404 channels. Suitable for conspiracy theory detection, German NLP, social network analysis, Telegram platform research, misinformation propagation, reply network analysis, media sharing patterns.
A Twitter dataset of 1,600,000 tweets with binary sentiment labels (positive/negative) assigned via emoticon distant supervision, collected by Go, Bhayani and Huang at Stanford University via Twitter streaming API in 2009. Each record contains tweet text with polarity label (0=negative, 4=positive), tweet ID, timestamp, search query used for collection, and username. The dataset is notable for its one of the largest and most widely used Twitter sentiment benchmarks, notable for using emoticons as a noisy but scalable distant supervision signal rather than manual annotation, enabling 1.6M labeled examples. Intended for research into sentiment analysis, opinion mining, distant supervision research, text classification benchmarking, and social media language modeling.
A Internet router-level topology (CAIDA Skitter project) dataset of 1,696,415 nodes and 11,095,298 edges, collected by CAIDA Skitter project via traceroute. Each record contains directed: False, weighted: False. Large internet router topology from the CAIDA Skitter project — 1.7M nodes and 11M edges.. Suitable for internet topology analysis, network robustness, scale-free network research.
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.
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.
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.
A Slashdot dataset of 10,019 discussion threads, August 2005 to August 2006, from the Online Conversation Threads repository of Aragón et al. (ICWSM 2017): 2,084,864 nodes (articles and comments) and 2,075,611 comment-to-parent reply edges, with comment text, moderation scores, timestamps and thread depth. Suitable for online discourse analysis, conversation dynamics and hierarchical reply-tree structure.
A Slashdot.org (technology news and discussion) dataset of 82,144 users and 1,601,229 directed signed edges (1,234,967 friend, 366,262 foe) merged from 3 snapshots, collected by Leskovec et al. via Slashdot crawls over November 2008 to February 2009, distributed by SNAP. Each record contains directed signed edges between users: +1 indicates an explicit friend tag, -1 indicates an explicit foe tag; three temporal snapshots merged into one cumulative graph. one of the canonical signed social network benchmarks, notable for its explicit friend/foe labeling system and use as a primary dataset in foundational signed network research including balance theory and status theory studies. Suitable for signed network analysis, link sign prediction, structural balance theory, status theory validation, community detection in signed graphs, and trust/distrust propagation modeling.
A Telegram (86 disinformation/conspiracy channels) dataset of 279,682 cleaned messages across 83 channels, collected by Federation of American Scientists via Telegram API. Each record contains message text (cleaned), channel name, timestamp, extracted URL, domain, and detected language per message. SMIDGE is a curated Telegram corpus spanning 2023-09-25 to 2024-09-24, focused on 83 channels selected for disinformation and conspiracy content, with 5,334 unique domains linked. Suitable for disinformation detection, conspiracy theory analysis, NLP text classification, content moderation, cross-platform information spread research.
A Google+ (now defunct) dataset of 102,100 nodes and 13,548,655 directed edges across 132 ego networks with ground-truth circles, collected by McAuley and Leskovec (Stanford, 2012) from public Google+ profiles. Each record contains directed follow edges, ground-truth circle memberships (Google+ circles shared publicly), anonymized node feature vectors representing profile attributes. 133 Google+ ego networks with publicly shared ground-truth circles from users who voluntarily released their circle data, providing a uniquely clean community ground-truth from a directed social platform. Suitable for overlapping community detection, ego network analysis, directed social circle inference, link prediction.
A Delicious dataset of 61,665 bookmarks, collected by OSoMe / GiveALink project, November 2009. Each record contains bookmark URL, timestamp, user tags. Daily Delicious social bookmarking snapshots from November 2009; each bookmark includes URL, Unix timestamp, and free-form user tags.. Suitable for Social bookmarking analysis, tag-based topic modeling, information diffusion, temporal content analysis..
A Twitter, Facebook, and Instagram dataset of 44 quarterly records spanning Q1 2010 to Q4 2020, collected by Margaretha Martinez via CNBC and Statista (2021). Each record contains quarter label, Twitter MAU (millions), Facebook MAU (millions), Instagram MAU (millions). A longitudinal quarterly time-series tracking monthly active user counts for three major social media platforms across a decade of growth. Suitable for platform growth analysis, social media market trends, digital media landscape studies, longitudinal comparison research.
A ACM Hypertext 2009 conference (Turin, Italy) dataset of 113 nodes and 2,196 edges, collected by SocioPatterns collaboration via RFID proximity sensing. Each record contains directed: False, weighted: True, signed: False, temporal: True. Face-to-face contact network of 113 conference attendees over 2.5 days, captured at 20-second resolution via RFID badges. Canonical dataset for studying conference social dynamics.. Suitable for temporal contact network analysis, community detection, epidemic modeling. The file holds 20,818 contacts, one row per 20-second face-to-face contact; the edge count of 2,196 counts distinct pairs.
A Science Gallery Dublin (Infectious exhibition, 2009) dataset of 410 nodes and 2,765 edges, collected by SocioPatterns collaboration via RFID proximity sensing. Each record contains directed: False, weighted: True, signed: False, temporal: True. High-resolution face-to-face contact network of 410 visitors at a science exhibition, recorded via RFID sensors at 20-second resolution. One of the canonical SocioPatterns datasets for epidemic modeling.. Suitable for epidemic modeling, contact network analysis, temporal networks. The file holds 17,298 contacts, one row per 20-second face-to-face contact; the edge count of 2,765 counts distinct pairs.
A twitter dataset of 1,352,000 Spanish tweet IDs from Pride Day (June 28) across 11 years, collected by Ramiro Ortega and Hassan (2025). Each record contains tweet IDs, LGBTIQ+ vs random label — full content requires hydration. 10-year longitudinal Spanish-language Pride Day dataset enabling temporal hate speech trend analysis. Suitable for hate speech detection, temporal discourse analysis, LGBTIQ+ online safety, Spanish NLP.
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..
A Stack Exchange (academia.stackexchange.com) dataset of 29,641 users, 86,788 answer-collaboration edges, 43,792 questions, 103,840 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 academia.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..
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..
A Stack Exchange (android.stackexchange.com) dataset of 43,076 users, 56,924 answer-collaboration edges, 58,621 questions, 68,916 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 android.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..
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..
A Stack Exchange (apple.stackexchange.com) dataset of 91,013 users, 158,605 answer-collaboration edges, 129,215 questions, 190,749 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 apple.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..
A Stack Exchange (askubuntu.com) dataset of 255,799 users, 434,011 answer-collaboration edges, 414,451 questions, 523,728 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 askubuntu.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..
A Stack Exchange (astronomy.stackexchange.com) dataset of 7,452 users, 15,893 answer-collaboration edges, 14,653 questions, 20,328 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 astronomy.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..
A Stack Exchange (aviation.stackexchange.com) dataset of 12,428 users, 35,863 answer-collaboration edges, 25,475 questions, 48,309 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 aviation.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..
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..
A Stack Exchange (beer.stackexchange.com) dataset of 1,265 users, 2,182 answer-collaboration edges, 1,173 questions, 2,580 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 beer.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..
A Stack Exchange (bioacoustics.stackexchange.com) dataset of 305 users, 798 answer-collaboration edges, 480 questions, 1,074 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 bioacoustics.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..
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..
A Stack Exchange (blender.stackexchange.com) dataset of 42,242 users, 80,525 answer-collaboration edges, 114,562 questions, 105,442 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 blender.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..
A Stack Exchange (boardgames.stackexchange.com) dataset of 9,031 users, 19,556 answer-collaboration edges, 13,873 questions, 25,108 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 boardgames.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..
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..
Reddit
4chan
Twitter (X)
Facebook
Fitocracy
YouTube
Telegram
The internet
Skytrax
Slack
Slashdot
Google
Delicious
Instagram
Stack Exchange