A Facebook (WashU32, September 2005) dataset of 7,755 users and 367,541 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (140 unique), dorm (52 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0939, major homophily: 0.0395.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Tulane29, September 2005) dataset of 7,752 users and 283,918 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (69 unique), dorm (41 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1008, major homophily: 0.0464.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Dartmouth6, September 2005) dataset of 7,694 users and 304,076 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (47% male, 53% female), graduation year, major (55 unique), dorm (70 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1028, major homophily: 0.0428.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Voat (Reddit alternative, 2013–2020) dataset of 3,895 submissions, 3,964 comments, 1,159 users, 1,990 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/uspolitics, covering its full lifetime on the platform (2013–2020). Includes all 3,895 submissions and 3,964 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Facebook (Emory27, September 2005) dataset of 7,460 users and 330,014 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (60 unique), dorm (69 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0925, major homophily: 0.0376.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Voat (Reddit alternative, 2013–2020) dataset of 2,466 submissions, 5,090 comments, 869 users, 1,890 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/Boards, covering its full lifetime on the platform (2013–2020). Includes all 2,466 submissions and 5,090 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Facebook (Vermont70, September 2005) dataset of 7,324 users and 191,221 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (59% male, 41% female), graduation year, major (95 unique), dorm (44 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0037, major homophily: 0.0497.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Chess game records (professional matches) dataset of 7,301 nodes and 60,046 edges, collected by KONECT via chess game database. Each record contains directed: True, weighted: True, signed: True. Directed network of chess game outcomes: edges go from winner to loser, with timestamps. Draws encoded as 0 weight.. Suitable for competition network analysis, ranking algorithms, temporal network analysis.
A Voat (Reddit alternative, 2013–2020) dataset of 2,784 submissions, 4,585 comments, 1,197 users, 2,216 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/economics, covering its full lifetime on the platform (2013–2020). Includes all 2,784 submissions and 4,585 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A MOOC online learning platform dataset of 7,047 students, 97 course content items, and 411,749 student actions, collected by Kumar, Zhang & Leskovec via SNAP (2019). Each record contains action ID, student user ID, course content item ID, relative timestamp, dropout label (0/1), and 4 pre-computed action feature dimensions. Bipartite temporal network of student interactions with MOOC course content — 1.0% dropout rate across 396,633 actions. Includes pre-computed embedding features per action, enabling direct use in temporal graph learning without feature engineering.. Suitable for student dropout prediction, temporal interaction networks, dynamic graph embedding, online learning behavior analysis.
A NDS-VU signed network repository dataset of 7,116 Wikipedia users and 100,693 signed RfA vote edges, collected by NDS-VU from Wikipedia RfA archives. Each record contains directed signed edges between nodes: sign (+1 or -1) representing positive/negative relationships; no edge weights beyond binary sign. Signed network of Wikipedia requests for adminship (RfA) votes where edges represent support (+1) or oppose (-1) votes cast during admin election campaigns, enabling trust and reputation analysis in collaborative platforms. Suitable for signed network analysis, reputation systems, voting behavior, trust modeling.
A Reddit (state-sponsored troll comments) dataset of 7,097 Reddit comments from verified Russian state-sponsored troll accounts, collected by Zannettou et al. via Reddit API (2019). Each record contains comment body, subreddit, author, score, controversiality, created_utc, gilded, parent_id. 7,097 Reddit comments from verified Russian IRA troll accounts across 649 subreddits — enabling study of coordinated influence operations on Reddit. Suitable for information operations detection, coordinated inauthentic behavior, Reddit manipulation analysis, troll comment classification, cross-platform influence campaign research.
A Facebook dataset of 7,057 pages, 89,455 mutual likes, collected by Rozemberczki et al. via the Facebook Graph API (November 2017). Each record contains undirected edges between blue verified Facebook government pages that mutually liked each other, with node attributes including page name and raw Facebook ID. Graph of blue verified Facebook government pages, where edges represent mutual likes between pages, capturing how citizens engage with government content and official institutions. Suitable for community detection in social networks, graph embedding, government-citizen engagement studies, political communication analysis.
A Voat (Reddit alternative, 2013–2020) dataset of 2,599 submissions, 4,478 comments, 2,987 users, 3,064 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/newsubverses, covering its full lifetime on the platform (2013–2020). Includes all 2,599 submissions and 4,478 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Stack Exchange (stellar.stackexchange.com) dataset of 850 users, 1,331 answer-collaboration edges, 1,463 questions, 1,674 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 stellar.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 Facebook (UC64, September 2005) dataset of 6,833 users and 155,332 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (68 unique), dorm (48 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: -0.0283, major homophily: 0.0392.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Tufts18, September 2005) dataset of 6,682 users and 249,728 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (84 unique), dorm (54 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0628, major homophily: 0.0438.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Carnegie49, September 2005) dataset of 6,637 users and 249,967 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (40% male, 60% female), graduation year, major (41 unique), dorm (51 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0981, major homophily: 0.1319.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Princeton12, September 2005) dataset of 6,596 users and 293,320 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (47% male, 53% female), graduation year, major (40 unique), dorm (56 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.065, major homophily: 0.0581.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UChicago30, September 2005) dataset of 6,591 users and 208,103 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (49% male, 51% female), graduation year, major (63 unique), dorm (51 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0459, major homophily: 0.0487.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Advogato dataset of 6,551 users, 51,317 trust relationships, collected by Massa et al. (2009) via Advogato platform. Each record contains directed, weighted trust edges between users, representing explicit trust relationships expressed by users. Advogato trust network where users express weighted trust relationships, enabling research on trust propagation and social influence in online communities. Suitable for trust network analysis, influence propagation, social influence studies, trust-based recommendation systems.
A Voat (Reddit alternative, 2013–2020) dataset of 2,761 submissions, 3,838 comments, 1,529 users, 2,435 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/Health, covering its full lifetime on the platform (2013–2020). Includes all 2,761 submissions and 3,838 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Voat (Reddit alternative, 2013–2020) dataset of 2,709 submissions, 4,086 comments, 849 users, 875 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/BloodOfEurope, covering its full lifetime on the platform (2013–2020). Includes all 2,709 submissions and 4,086 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Facebook (William77, September 2005) dataset of 6,472 users and 266,378 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (56 unique), dorm (70 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1173, major homophily: 0.0417.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (MIT8, September 2005) dataset of 6,440 users and 251,252 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (41% male, 59% female), graduation year, major (43 unique), dorm (63 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1255, major homophily: 0.0587.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Stack Exchange (vegetarianism.stackexchange.com) dataset of 548 users, 1,147 answer-collaboration edges, 760 questions, 1,497 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 vegetarianism.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 Facebook (American75, September 2005) dataset of 6,386 users and 217,662 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (62% male, 38% female), graduation year, major (76 unique), dorm (25 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0271, major homophily: 0.046.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Twitter dataset of 32 nodes, 496 edges, collected by Yang, Ferrara, and Menczer (OSoMe/Indiana University). Each record contains user network (GML), suspicious tweet text, message cascades, targeted media accounts. Network and content evidence of a coordinated inauthentic influence operation targeting the 2020 US presidential election on Twitter.. Suitable for Coordinated inauthentic behavior detection, influence operations research, election integrity analysis..
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 Gnutella (August 08, 2002) dataset of 6,301 nodes and 20,777 edges, collected by Ripeanu et al. via Gnutella crawl (2002). Each record contains directed peer-to-peer connections in the Gnutella network. The dataset is notable for its snapshot from August 08, 2002, part of a temporal sequence of 9 snapshots. Intended for research into peer-to-peer network analysis, temporal graph evolution, and network resilience studies.
A Voat (Reddit alternative, 2013–2020) dataset of 1,072 submissions, 4,744 comments, 88 users, 733 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/SavageGods, covering its full lifetime on the platform (2013–2020). Includes all 1,072 submissions and 4,744 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Stack Exchange (drones.stackexchange.com) dataset of 502 users, 848 answer-collaboration edges, 908 questions, 1,277 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 drones.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 (iota.stackexchange.com) dataset of 545 users, 936 answer-collaboration edges, 1,074 questions, 1,283 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 iota.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 Facebook dataset of 5,908 pages, 41,729 mutual likes, collected by Rozemberczki et al. via the Facebook Graph API (November 2017). Each record contains undirected edges between blue verified Facebook politician pages that mutually liked each other, with node attributes including page name and raw Facebook ID. Graph of blue verified Facebook politician pages, where edges represent mutual likes between pages, capturing how citizens engage with political figures and campaign content. Suitable for community detection in social networks, graph embedding, political communication analysis, politician influence studies, political polarization research.
A Bitcoin OTC (peer-to-peer Bitcoin trading platform) dataset of 5,881 users and 35,592 directed weighted trust ratings (32,029 positive, 3,563 negative), collected by Kumar et al. via platform crawl, distributed by SNAP. Each record contains directed weighted signed edges between users: integer rating in [-10, +10] representing trust strength, plus binarized sign (+1/-1) for compatibility with signed network algorithms; Unix timestamps per rating. continuous integer trust weights rather than binary +1/-1 signs, enabling weighted signed network analysis and providing finer-grained trust signal than Epinions or Slashdot while operating in the high-stakes context of peer-to-peer Bitcoin trading. Suitable for weighted signed network analysis, edge weight prediction, trust propagation modeling, fraud detection, reputation system design, and signed graph embedding research.
A NDS-VU signed network repository dataset of 5,882 nodes and 21,492 signed edges (synthetic Bitcoin OTC variant), collected by NDS-VU (Vrije Universiteit Amsterdam). Each record contains directed signed edges between nodes: sign (+1 or -1) representing positive/negative relationships; no edge weights beyond binary sign. Synthetic version of the Bitcoin OTC web-of-trust network with reversed edge polarities, enabling adversarial and robustness testing of signed network algorithms. Suitable for signed network analysis, algorithm benchmarking, robustness testing.
A Facebook (Wake73, September 2005) dataset of 5,372 users and 279,191 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (53 unique), dorm (48 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1309, major homophily: 0.0439.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Stack Exchange (conlang.stackexchange.com) dataset of 374 users, 825 answer-collaboration edges, 603 questions, 1,184 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 conlang.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 Facebook (Johns Hopkins55, September 2005) dataset of 5,180 users and 186,586 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (45% male, 55% female), graduation year, major (93 unique), dorm (57 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0972, major homophily: 0.0637.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Lehigh96, September 2005) dataset of 5,075 users and 198,347 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (44% male, 56% female), graduation year, major (69 unique), dorm (52 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0695, major homophily: 0.0432.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Reddit dataset of 5,024 annotated comments, 809,713 total comments, collected by Behavioral Data Science Lab. Each record contains comment text, stance labels, interaction graphs, polarity scores. r/Brexit subreddit with crowd-annotated stance labels and temporal interaction graphs. Suitable for political polarization, opinion dynamics, stance detection.
A Twitter dataset of 4,952 tweets (1,238 rumour, 3,714 non-rumour) from the 2013 Boston Marathon bombings, collected by Zubiaga, Liakata, and Procter — Augmented PHEME (Zenodo, 2019). Each record contains tweet text, binary rumour/non-rumour label, timestamp, reaction thread structure linking source tweets to replies. Augmented extension of PHEME covering the Boston Marathon bombings event with both rumour threads and non-rumour threads, providing a balanced benchmark for rumour detection with reaction graph structure. Suitable for rumour detection, misinformation classification, crisis communication analysis, stance detection, conversational thread modelling.
A US Western States power grid infrastructure dataset of 4,941 nodes and 6,594 edges, collected by D.J. Watts & S.H. Strogatz. Each record contains directed: False, weighted: False, signed: False. Classic small-world network of the US western power grid — nodes are generators/transformers, edges are transmission lines.. Suitable for infrastructure network analysis, small-world networks, robustness analysis.
A Wikispeedia (Wikipedia-based online navigation game) dataset of 4,586 Wikipedia article nodes, 119,767 hyperlinks, and 76,193 human navigation paths, collected by West & Leskovec via the Wikispeedia online game (2008–2012). Each record contains article hyperlink graph (source → target), navigation path sequences, path duration in seconds, path length in clicks, back-click count, and optional difficulty rating (1=easy to 5=brutal). Unique dataset combining a Wikipedia hyperlink graph with 76,193 human navigation paths from an online game where players navigate from a random start article to a target article using only hyperlinks — 67.4% of paths were successfully completed.. Suitable for semantic distance estimation, human wayfinding behavior, hyperlink graph analysis, information foraging, Wikipedia structure research.
A Facebook (Rochester38, September 2005) dataset of 4,563 users and 161,404 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (48% male, 52% female), graduation year, major (86 unique), dorm (38 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0758, major homophily: 0.0642.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Stack Exchange (moderators.stackexchange.com) dataset of 540 users, 1,030 answer-collaboration edges, 582 questions, 1,296 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 moderators.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..
Twitter conversations around the Germanwings plane crash in the French Alps (March 2015), from the PHEME rumour dataset (Zubiaga, Liakata, Procter, Kochkina and colleagues; the complete release for rumour detection and veracity classification, figshare 6392078): 469 threads, each a source tweet and its replies, of which 238 were judged rumours by journalists and 231 not. Every rumour also carries its veracity as later established: 94 true, 111 false and 33 unverified. 4,489 tweets in all, with full tweet JSON. ECHO builds the reply network (4,020 reply links, each reply pointing to the tweet it answers) and labels each tweet with its thread's rumour status and, for source tweets, the veracity. Useful for rumour detection, rumour verification and modelling how conversations unfold. Annotations CC BY 4.0; Twitter retains the rights to tweet content. The archive PHEME_veracity.tar.bz2 is gzip-compressed despite its name (the name is the authors' own, kept so the checksum matches figshare): extract it with `tar xzf`.
A Facebook (Rice31, September 2005) dataset of 4,087 users and 184,828 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (47% male, 53% female), graduation year, major (46 unique), dorm (9 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0301, major homophily: 0.0486.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Instagram (user engagement patterns) dataset of 1,000 posts with engagement metrics and multimedia, collected by Hanmante via Instagram API (2024). Each record contains post captions, hashtags, images, videos, likes, comments, user metadata, and tagged users. The dataset is notable for its dataset of Instagram political content from Uruguay, with rich multimodal data. Intended for research into social media engagement analysis, political communication, multimodal NLP, and user behavior modeling.
A Facebook (Howard90, September 2005) dataset of 4,047 users and 204,850 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (66% male, 34% female), graduation year, major (62 unique), dorm (29 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: -0.0922, major homophily: 0.0427.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook
Voat
Wikipedia
Reddit
Stack Exchange
Advogato
Twitter (X)
Gnutella
Instagram