Social graph

856 datasets tagged as the topic “Social graph”.

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Pushshift Reddit — 2012-05 Analyzed

A Reddit (Pushshift archive, 2012-05) dataset of 16,781,749 comments and 8,218,961 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 16,175 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-05 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 16,175 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

16.8M records16.8M nodes8.2M edges2020

Pushshift Reddit — 2012-04 Analyzed

A Reddit (Pushshift archive, 2012-04) dataset of 15,640,119 comments and 7,555,345 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 15,625 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2012-04 — full comment text, reply graph, and engagement metrics across 15,625 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

15.6M records15.6M nodes7.6M edges2020

Pushshift Reddit — 2012-03 Analyzed

A Reddit (Pushshift archive, 2012-03) dataset of 14,617,849 comments and 7,010,480 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 15,047 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-03 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 15,047 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

14.6M records14.6M nodes7M edges2020

Pushshift Reddit — 2009 (Annual) Aggregate

A Reddit (Pushshift archive, full year 2009) dataset of 13,585,281 comments across 12 months, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains 5,434 subreddits, 8,233,162 reply edges across all months. Annual aggregate of all Pushshift Reddit comments for 2009 — 13,585,281 comments across 12 months and 5,434 subreddits.. Suitable for longitudinal Reddit analysis, annual growth trends, subreddit evolution, platform-scale engagement research.

13.6M records2020

Pushshift Reddit — 2012-01 Analyzed

A Reddit (Pushshift archive, 2012-01) dataset of 13,280,664 comments and 6,321,745 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 13,607 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 13,607 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

13.3M records13.3M nodes6.3M edges2020

Parler User Profiles Analyzed

A Parler (alternative social network) dataset of 13,254,060 Parler user profiles with bios and activity metrics, collected by Aliapoulios et al. via Parler API (2021). Each record contains user ID, username, bio text, follower/following counts, post/comment/like/media counts, join date, verified/banned/human flags. 13,254,060 Parler user profiles from the platform's peak period before its deplatforming — 605 verified accounts, 287,391 banned users. Suitable for deplatforming research, far-right social network analysis, user behavior on alternative platforms, bot detection, political communication research.

13.3M records2021

Pushshift Reddit — 2012-02 Analyzed

A Reddit (Pushshift archive, 2012-02) dataset of 13,041,429 comments and 6,164,917 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 14,220 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-02 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 14,220 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

13M records13M nodes6.2M edges2020

Stack Exchange — math.stackexchange.com Analyzed

A Stack Exchange (math.stackexchange.com) dataset of 318,785 users, 1,665,884 answer-collaboration edges, 1,641,406 questions, 2,146,413 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 math.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..

12.5M records318.8K nodes1.7M edges2025

LiveJournal Emotions Dataset (Jin & Zafarani 2017) Analyzed

A LiveJournal (blogging social network) dataset of 12,404,868 emotion-labeled posts from 115,444 users with 106,577 nodes and 961,392 friendship/follower edges, collected by Jin & Zafarani via LiveJournal API, distributed by Data Lab SU. Each record contains user ID, emotion label (-1=negative/0=neutral/1=positive), timestamp, friendship edges, follower edges, community membership. 12,404,868 LiveJournal posts labeled with trichotomous emotion scores across 115,444 users — uniquely combines social network structure (friendship + follower graphs) with per-post emotion labels and community membership for studying emotion propagation in networks. Suitable for emotion propagation in social networks, community emotion analysis, sentiment diffusion, social influence on emotion, network-based mood modeling.

12.4M records106.6K nodes961.4K edges2017

Wikipedia Hyperlinks (English) Analyzed

The wikilink network of the English Wikipedia, as distributed by KONECT (wikipedia_link_en), built from the Wikimedia dumps: 12,150,976 articles and 378,142,420 directed links between them, where a link from A to B means article A links to article B (article namespace only; 40,018 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 13,593,032 articles and 437,217,424 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian); at this size the analytics are computed on disk (Kuzu), with assortativity and bridges sampled. Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.

12.2M records12.2M nodes378.1M edges2013

Pushshift Reddit — 2011-12 Analyzed

A Reddit (Pushshift archive, 2011-12) dataset of 11,693,903 comments and 5,522,479 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 11,730 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2011-12 — full comment text, reply graph, and engagement metrics across 11,730 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

11.7M records11.7M nodes5.5M edges2020

Orkut Group Memberships Analyzed

Orkut users and the groups they joined, as distributed by KONECT (orkut-groupmemberships), from the crawl of Mislove et al. (2007): a bipartite network linking 2.8 million users to the 8.7 million Orkut groups they belonged to, with some 327 million memberships. Orkut was Google's social network, active 2004–2014. Useful for large-scale community detection, affiliation-network analysis and the structure of online groups.

11.5M records11.5M nodes327M edges2007

Twitter Social Network (Syracuse Data Lab) Analyzed

A Twitter dataset of 11,316,811 users and 85,331,843 directed follower/followee edges, collected by Zafarani and Liu at Syracuse University Data Lab. Each record contains directed edges from follower to followee; bare integer node IDs (anonymized users). one of the largest publicly available Twitter follower networks, with 85M directed edges enabling large-scale social network analysis at the full platform scale. Suitable for large-scale network analysis, influence propagation, community detection, centrality computation, and information diffusion modeling.

11.3M records11.3M nodes85.3M edges2026

Pushshift Reddit — 2011-11 Analyzed

A Reddit (Pushshift archive, 2011-11) dataset of 11,030,601 comments and 5,197,924 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 10,961 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-11 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 10,961 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

11M records11M nodes5.2M edges2020

Pushshift Reddit — 2011-10 Analyzed

A Reddit (Pushshift archive, 2011-10) dataset of 10,874,106 comments and 5,044,112 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 10,358 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-10 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 10,358 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

10.9M records10.9M nodes5M edges2020

Pushshift Reddit — 2011-08 Analyzed

A Reddit (Pushshift archive, 2011-08) dataset of 9,873,132 comments and 4,595,585 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 9,225 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-08 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 9,225 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

9.9M records9.9M nodes4.6M edges2020

Pushshift Reddit — 2011-09 Analyzed

A Reddit (Pushshift archive, 2011-09) dataset of 9,808,117 comments and 4,569,421 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 9,784 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-09 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 9,784 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

9.8M records9.8M nodes4.6M edges2020

Pushshift Reddit — 2011-07 Analyzed

A Reddit (Pushshift archive, 2011-07) dataset of 8,410,476 comments and 3,877,551 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 7,907 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-07 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 7,907 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

8.4M records8.4M nodes3.9M edges2020

Pushshift Reddit — 2011-06 Analyzed

A Reddit (Pushshift archive, 2011-06) dataset of 4,709,369 comments and 3,659,449 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 7,102 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2011-06 — full comment text, reply graph, and engagement metrics across 7,102 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

7.8M records4.7M nodes3.7M edges2020

Pushshift Reddit — 2011-05 Analyzed

A Reddit (Pushshift archive, 2011-05) dataset of 7,011,857 comments and 3,248,561 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 6,491 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-05 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 6,491 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

7M records4.2M nodes3.2M edges2020

Structure and Dynamics of Growing r/AITA Reddit Thread Networks (2023) Analyzed

A Reddit dataset of 6,252,711 posts and comments, 6,279 AITA submissions, 6,239,711 nodes, 6,133,386 reply edges, collected by Zenodo contributor via Reddit API, September–October 2023. Each record contains post/comment id, reply graph (parent_id), title, VADER sentiment, readability (Fog + FK-GL), 10 emotion lexicon scores (anticipation, disgust, fear, joy, sadness, surprise, trust, anger, positive, negative), valence/arousal/dominance. 2M+ r/AmITheAsshole posts and comments with pre-computed emotion lexicon scores, readability metrics, and VADER sentiment across multiple time windows (all-time, monthly, weekly, yearly); includes full reply graph structure.. Suitable for Emotion dynamics in online moral judgment, reply network analysis, readability and engagement research, temporal thread growth modeling..

6.2M records6.2M nodes6.1M edges2024

Pushshift Reddit — 2011-04 Analyzed

A Reddit (Pushshift archive, 2011-04) dataset of 6,000,632 comments and 2,745,074 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 5,839 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-04 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 5,839 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

6M records3.6M nodes2.7M edges2020

Pushshift Reddit — 2011-03 Analyzed

A Reddit (Pushshift archive, 2011-03) dataset of 3,603,143 comments and 2,792,355 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 5,214 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2011-03 — full comment text, reply graph, and engagement metrics across 5,214 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

6M records3.6M nodes2.8M edges2020

Friendster Social Network Analyzed

A Friendster (social network) dataset of 5,689,498 users and 14,067,887 friendship edges, collected by Booher via Friendster crawl (Nov 2010). Each record contains user-user friendship edges. classic social network dataset with 14M edges, representing one of the early major social networking platforms. Suitable for social network analysis, community detection, and friendship prediction.

5.7M records5.7M nodes14.1M edges2026

DBLP Author-Paper Bipartite Network Analyzed

A DBLP Computer Science Bibliography dataset of 5,425,963 nodes and 8,649,016 edges, collected by KONECT via DBLP database. Each record contains directed: False, weighted: False. Large bipartite network linking 1.4M authors to 4M papers in DBLP — one of the largest academic bipartite networks available.. Suitable for academic collaboration analysis, authorship networks, bipartite graph research.

5.4M records5.4M nodes8.6M edges2002

Delicious User-Tag Bipartite Network Analyzed

A Delicious social bookmarking platform (user-tag network) dataset of 5,345,180 nodes and 81,989,133 edges, collected by KONECT via Delicious API. Each record contains directed: False, weighted: True, temporal: True. Massive temporal bipartite network of Delicious users and tags they used — 301M edges across 5.3M users and tags with Unix timestamps.. Suitable for social tagging analysis, folksonomy research, large-scale bipartite networks.

5.3M records5.3M nodes82M edges2008

Pushshift Reddit — 2011-01 Analyzed

A Reddit (Pushshift archive, 2011-01) dataset of 5,233,905 comments and 2,417,135 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 4,899 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 4,899 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

5.2M records3.1M nodes2.4M edges2020

Twitter Events — All Events (Cumulative) Analyzed

The five Twitter multiplex event networks (Cannes 2013, MLK Day 2013, Moscow Athletics 2013, NY Climate March 2014, Obama in Israel 2013) side by side in one graph: 3,238,746 users and 5,175,900 weighted retweet, mention and reply edges. Each release numbers its users independently, so node IDs are event:user and no account is linked across events. Suitable for multiplex network analysis and comparing information spreading across events.

5.2M records3.2M nodes5.2M edges2015

Pushshift Reddit — 2011-02 Analyzed

A Reddit (Pushshift archive, 2011-02) dataset of 5,053,654 comments and 2,351,138 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 4,938 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-02 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 4,938 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

5.1M records3M nodes2.4M edges2020

Pushshift Reddit — 2008 (Annual) Aggregate

A Reddit (Pushshift archive, full year 2008) dataset of 4,873,571 comments across 12 months, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains 2,181 subreddits, 2,955,005 reply edges across all months. Annual aggregate of all Pushshift Reddit comments for 2008 — 4,873,571 comments across 12 months and 2,181 subreddits.. Suitable for longitudinal Reddit analysis, annual growth trends, subreddit evolution, platform-scale engagement research.

4.9M records2020

LiveJournal Social Network Analyzed

A LiveJournal (blogging and social network platform) dataset of 4,846,609 nodes and 68,475,391 edges, collected by J. Leskovec et al. via LiveJournal API. Each record contains directed: True, weighted: False, temporal: False. Large directed LiveJournal friendship network with 4.3M users and 69M edges — one of the largest social network datasets from the Web 2.0 era.. Suitable for large-scale social network analysis, community detection, information diffusion.

4.8M records4.8M nodes68.5M edges2008

Pushshift Reddit — 2010-12 Analyzed

A Reddit (Pushshift archive, 2010-12) dataset of 2,794,883 comments and 2,143,243 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 4,420 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-12 — full comment text, reply graph, and engagement metrics across 4,420 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

4.7M records2.8M nodes2.1M edges2020

Pushshift Reddit — 2010-11 Analyzed

A Reddit (Pushshift archive, 2010-11) dataset of 4,487,798 comments and 2,060,836 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 4,131 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-11 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 4,131 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

4.5M records2.7M nodes2.1M edges2020

English Wikipedia 2013 Hyperlink Network Analyzed

A Wikipedia (English edition, 2013 snapshot) dataset of 4,203,323 article nodes and 101,311,614 directed hyperlink edges, collected by Leskovec et al. via Wikipedia XML dump (SNAP, 2013). Each record contains source article ID, destination article ID (directed hyperlink). Complete English Wikipedia hyperlink graph from a 2013 snapshot — one of the largest hyperlink networks publicly available, capturing the full link structure of 4.2M Wikipedia articles.. Suitable for hyperlink network analysis, graph evolution studies, link prediction, Wikipedia structure research, large-scale directed graph algorithms.

4.2M records4.2M nodes101.3M edges2007

Twitter Multiplex Network — Obama in Israel 2013 Analyzed

A Twitter (Obama in Israel 2013) dataset of 2,281,259 users, 4,061,960 multiplex edges (retweets, mentions, replies), collected by D. R. G. and D. M.. Each record contains source, target, weight, layer (1=retweet, 2=mention, 3=reply). Multiplex Twitter network during Obama in Israel 2013 with three interaction layers. Suitable for multiplex network analysis, event dynamics, information propagation.

4.1M records2.3M nodes3.4M edges2015

Pushshift Reddit — 2010-10 Analyzed

A Reddit (Pushshift archive, 2010-10) dataset of 3,958,154 comments and 1,829,837 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,904 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-10 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,904 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

4M records2.4M nodes1.8M edges2020

USPTO Patent Citation Network Analyzed

A US Patent and Trademark Office (1963–1999) dataset of 3,774,768 nodes and 16,518,947 edges, collected by B.H. Hall et al.. Each record contains directed: True, weighted: False. Massive directed citation network of 3.7M US patents spanning 1963–1999 — one of the largest citation networks available.. Suitable for citation network analysis, technology diffusion, innovation research.

3.8M records3.8M nodes16.5M edges2001

YouTube Snapshot 0222 Analyzed

A YouTube dataset of 743,569 videos, 14,338,803 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0222 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.

3.8M records3.8M nodes14.3M edges2008

Pushshift Reddit — 2010-09 Analyzed

A Reddit (Pushshift archive, 2010-09) dataset of 3,688,035 comments and 1,702,986 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,789 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-09 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,789 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

3.7M records2.2M nodes1.7M edges2020

Stack Exchange — superuser.com Analyzed

A Stack Exchange (superuser.com) dataset of 299,863 users, 603,996 answer-collaboration edges, 505,136 questions, 732,567 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 superuser.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..

3.6M records299.9K nodes604K edges2025

TBBT: r/chapotraphouse Ban Intervention (2020) Analyzed

A Reddit (r/chapotraphouse ban intervention, 2020) dataset of 865,937 pre-ban posts from banned community, 1,272,364 pre-ban control posts, 1,279,975 post-ban control posts, collected by Cerulli et al. via Reddit API (ICWSM 2026). Each record contains comment ID, selftext (post body), author (pseudonymized), subreddit, score, created_utc, split label (in-before/out-before/out-after). TBBT r/chapotraphouse: pre- and post-ban Reddit dataset from The Big Ban Theory — standardized 3-month window around the 2020 moderation intervention with matched control communities. Suitable for content moderation effects, community migration, deplatforming research, pre/post intervention analysis, Reddit ban studies.

3.4M records30K nodes304.1K edges2026

Amazon Product Rating Network Analyzed

A Amazon.com (product reviews and ratings) dataset of 3,376,972 nodes and 5,743,258 edges, collected by J. McAuley & J. Leskovec via Amazon product pages. Each record contains directed: False, weighted: True, temporal: True. Large bipartite user-product rating network with timestamps and 1-5 star ratings — 5.8M edges across 2.1M users and 1.2M products.. Suitable for recommender systems, rating prediction, bipartite network analysis, e-commerce research.

3.4M records3.4M nodes5.7M edges2010

Moltbook — AI Agent Social Network Analyzed

Moltbook, a social network whose members are autonomous AI agents (Hugging Face jscmp4/Moltbook, 2025): 100,590 agent profiles, 3,352,520 posts and 16,663,266 comments. The graph links agents to the posts and comments they wrote and comments to their posts (20,199,253 nodes, 36,678,988 edges). Suitable for research on AI agent behaviour and social dynamics.

3.4M records20.2M nodes36.7M edges2026

Pushshift Reddit — 2010-08 Analyzed

A Reddit (Pushshift archive, 2010-08) dataset of 2,026,913 comments and 1,572,956 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 3,375 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-08 — full comment text, reply graph, and engagement metrics across 3,375 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

3.3M records2M nodes1.6M edges2020

Wikipedia Hyperlinks (German) Analyzed

The wikilink network of the German Wikipedia, as distributed by KONECT (wikipedia_link_de), built from the Wikimedia dumps: 3,225,565 articles and 81,626,917 directed links between them, where a link from A to B means article A links to article B (article namespace only; 31,722 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 3,603,726 articles and 96,865,851 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.

3.2M records3.2M nodes81.6M edges2013

YouTube Social Network Growth Analyzed

A YouTube (user social network growth over time) dataset of 3,223,585 nodes and 9,375,374 edges, collected by A. Mislove et al. via YouTube API. Each record contains directed: False, weighted: True, temporal: True. Temporal undirected YouTube friendship network showing how the social graph grew over time — 9.4M edges with Unix timestamps.. Suitable for temporal network analysis, social network growth modeling, YouTube social dynamics.

3.2M records3.2M nodes9.4M edges2009

Pushshift Reddit — 2010-07 Analyzed

A Reddit (Pushshift archive, 2010-07) dataset of 3,135,989 comments and 1,470,882 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,396 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-07 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,396 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

3.1M records1.9M nodes1.5M edges2020

Orkut Social Network (Network Repository) Analyzed

The Orkut friendship network crawled by Mislove et al. (2007), as distributed by Network Repository (soc-orkut-dir): 3,072,441 users and 117,185,083 undirected friendships, each pair listed once. Despite the "-dir" in Network Repository's name, the file is marked symmetric and Orkut friendships were mutual. Orkut was Google's social network, active 2004–2014 and especially popular in Brazil and India. Useful for large-scale social network analysis, community detection and graph mining.

3.1M records3.1M nodes117.2M edges2007

Wikipedia Hyperlinks (French) Analyzed

The wikilink network of the French Wikipedia, as distributed by KONECT (wikipedia_link_fr), built from the Wikimedia dumps: 3,023,165 articles and 102,382,410 directed links between them, where a link from A to B means article A links to article B (article namespace only; 17,100 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 3,333,397 articles and 123,709,902 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.

3M records3M nodes102.4M edges2013

Wikipedia English Talk Page Network Analyzed

A Wikipedia (English edition talk pages) dataset of 2,987,535 nodes and 9,379,561 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia English talk page interactions between editors.. Suitable for wiki collaboration analysis, temporal network analysis, community detection.

3M records3M nodes9.4M edges2016