917 datasets for community detection. Most are inferred from the data: a label field, the title, or the graph itself.
917 datasets — page 17 of 19.
A Facebook (ego-networks) dataset of 4,039 nodes and 88,234 edges, collected by McAuley & Leskovec via Facebook app survey (2012). Each record contains user-user friendship edges and ego-network circles. classic ego-network dataset with ground-truth social circles. Suitable for social network analysis, community detection, and circle prediction.
A Facebook (Brandeis99, September 2005) dataset of 3,898 users and 137,567 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (57% male, 43% female), graduation year, major (57 unique), dorm (11 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: 0.0194, major homophily: 0.042.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook dataset of 3,892 pages, 17,262 mutual likes, collected by Rozemberczki et al. via the Facebook Graph API (November 2017). Each record contains undirected edges between blue verified Facebook TV show pages that mutually liked each other, with node attributes including page name and raw Facebook ID. Graph of blue verified Facebook TV show pages, where edges represent mutual likes between pages, capturing how viewers engage with television content, shows, and entertainment media. Suitable for community detection in social networks, graph embedding, TV viewership analysis, entertainment content engagement studies, media consumption network analysis, fan community detection.
A Voat (Reddit alternative, 2013–2020) dataset of 3,366 submissions, 595 comments, 174 users, 218 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/Dreamworlds, covering its full lifetime on the platform (2013–2020). Includes all 3,366 submissions and 595 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Facebook (Bucknell39, September 2005) dataset of 3,826 users and 158,864 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (54% male, 46% female), graduation year, major (74 unique), dorm (49 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: 0.1168, major homophily: 0.0509.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Voat (Reddit alternative, 2013–2020) dataset of 1,516 submissions, 2,089 comments, 376 users, 439 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/Contact, covering its full lifetime on the platform (2013–2020). Includes all 1,516 submissions and 2,089 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Bitcoin Alpha (peer-to-peer Bitcoin trading platform) dataset of 3,783 users and 24,186 directed weighted trust ratings (22,650 positive, 1,536 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 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 Facebook (Mich67, September 2005) dataset of 3,748 users and 81,903 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (27% male, 73% female), graduation year, major (79 unique), dorm (28 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: 0.0576, major homophily: 0.075.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A MADOC (Voat, MensRights) dataset of 992 users and 1,628 reply edges from 3,735 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.
A LinkedIn dataset of 3,600 profiles: 1,800 legitimate, 600 fake and 1,200 generated by ChatGPT (600 from legitimate profiles' statistics, 600 from fake ones'), released by Ayoobi, Shahriar and Mukherjee (ACM Hypertext 2023). Each record holds the profile sections visible before connecting: intro, about, experience, education, skills, languages, interests, licences and more, with counts per section. Suitable for fake and LLM-generated profile detection.
A Facebook (Wesleyan43, September 2005) dataset of 3,593 users and 138,035 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (47 unique), dorm (155 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: 0.0353, major homophily: 0.0526.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Voat (Reddit alternative, 2013–2020) dataset of 3,465 submissions, 117 comments, 73 users, 66 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/newsandpolitics, covering its full lifetime on the platform (2013–2020). Includes all 3,465 submissions and 117 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Facebook (Santa74, September 2005) dataset of 3,578 users and 151,747 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (44 unique), dorm (72 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: 0.0353, major homophily: 0.0456.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Colgate88, September 2005) dataset of 3,482 users and 155,043 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (50 unique), dorm (37 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: 0.09, major homophily: 0.0559.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Pepperdine86, September 2005) dataset of 3,445 users and 152,007 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (58% male, 42% female), graduation year, major (84 unique), dorm (21 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: 0.0593, major homophily: 0.0343.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A OpenFlights.org airport route database dataset of 3,425 nodes and 37,595 edges, collected by OpenFlights.org. Each record contains directed: True, weighted: True. Directed network of airports connected by flight routes — nodes are airports, edges are direct routes.. Suitable for transportation network analysis, network robustness, hub detection.
A CiteSeer dataset of 3,327 nodes, 4,676 edges, 6 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. CiteSeer network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.
Meta's Social Connectedness Index (SCI): the relative probability that two Facebook users in two places are friends, scaled so that the most connected pair is 1,000,000,000. This package is the release distributed on HDX, at several resolutions: country to country, GADM level 1 and 2 regions, geoBoundaries ADM1 and ADM2, EU NUTS 1 to 3 (2024), US counties and US ZIP code tabulation areas, with region-to-country lookups and the methodology paper. Suitable for research on social ties, migration, trade and economic spillovers between regions.
A Human protein interaction network (Vidal lab) dataset of 3,133 nodes and 6,726 edges, collected by M. Vidal et al.. Each record contains directed: False, weighted: False. Human protein-protein interaction network from the Vidal lab — classic biological network benchmark.. Suitable for biological network analysis, protein interaction research.
A Facebook (Middlebury45, September 2005) dataset of 3,075 users and 124,610 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (42 unique), dorm (10 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: 0.0395, major homophily: 0.046.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Vassar85, September 2005) dataset of 3,068 users and 119,161 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (61% male, 39% female), graduation year, major (50 unique), dorm (13 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: 0.002, major homophily: 0.0566.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A MADOC (Voat, CringeAnarchy) dataset of 876 users and 1,740 reply edges from 3,030 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.
A Facebook (Smith60, September 2005) dataset of 2,970 users and 97,133 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (99% male, 1% female), graduation year, major (48 unique), dorm (39 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: 0.0252, major homophily: 0.0516.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Wellesley22, September 2005) dataset of 2,970 users and 94,899 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (99% male, 1% female), graduation year, major (63 unique), dorm (24 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: 0.2461, major homophily: 0.0401.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Oberlin44, September 2005) dataset of 2,920 users and 89,912 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (69 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: 0.0203, major homophily: 0.0939.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Williams40, September 2005) dataset of 2,790 users and 112,986 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (49 unique), dorm (32 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: 0.0706, major homophily: 0.0435.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Cora dataset of 2,708 nodes, 5,278 edges, 7 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. Cora network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.
A Facebook (USFCA72, September 2005) dataset of 2,682 users and 65,252 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (68% male, 32% female), graduation year, major (41 unique), dorm (22 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: 0.024, major homophily: 0.067.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Trinity100, September 2005) dataset of 2,613 users and 111,996 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (52 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: 0.052, major homophily: 0.0707.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
An adolescent friendship network from the Add Health study (2,539 students, 12,969 edges), compiled by James Moody. Each record contains directed edges: True, weighted: True, signed: False. This directed network was created from a survey that took place in 1994/1995. Each student was asked to list his 5 best female and his 5 male friends. A node represents a student and an edge between two students shows that the left student chose the right student as a friend. Higher edge weights ind. Suitable for social network analysis, community detection.
A Fediverse (peertube, follow graph) dataset of 2,356 nodes, 88,587 edges (62 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains directed edges representing following relationships between Peertube instances. The dataset is notable for its directed graph showing follower relationships between instances, specifically for the Peertube platform's follow network. Intended for research into video content discovery, creator-audience relationships, and media sharing network analysis.
A Facebook (Hamilton46, September 2005) dataset of 2,314 users and 96,394 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (47 unique), dorm (26 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: 0.0917, major homophily: 0.0405.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Bowdoin47, September 2005) dataset of 2,252 users and 84,387 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (41 unique), dorm (39 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: 0.0427, major homophily: 0.0567.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Human protein interaction network (Figeys lab) dataset of 2,239 nodes and 6,452 edges, collected by D. Figeys et al.. Each record contains directed: True, weighted: False. Human protein-protein interaction network from the Figeys lab.. Suitable for biological network analysis, protein interaction research.
A Facebook (Amherst41, September 2005) dataset of 2,235 users and 90,954 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (50% male, 50% female), graduation year, major (29 unique), dorm (34 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: 0.0598, major homophily: 0.0467.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A UC Irvine online messaging system dataset of 1,899 nodes and 20,296 edges, collected by T. Opsahl. Each record contains directed: True, weighted: True, signed: False. Temporal directed messaging network among UC Irvine students with Unix timestamps.. Suitable for temporal network analysis, online social network analysis. The file holds 59,835 messages, one row per message; the edge count of 20,296 counts distinct pairs.
A Protein-protein interaction network dataset of 1,870 nodes and 2,277 edges, collected by KONECT. Each record contains directed edges: False, weighted: False, signed: False. This undirected network contains protein interactions contained in yeast. Research showed that proteins with a high degree were more important for the surivial of the yeast than others. A node represents a protein and an edge represents a metabolic interaction between two proteins. The network cont. Suitable for biological network analysis, community detection.
A Petster.com (pet social network — hamsters) dataset of 1,858 nodes and 12,534 edges, collected by KONECT via Petster crawl. Each record contains directed: False, weighted: False, signed: False. Friendship network of hamster profiles on a pet social networking site.. Suitable for social network analysis, community detection.
A Name association network dataset of 1,773 nodes and 9,131 edges, collected by J.L. Moreno. Each record contains directed edges: False, weighted: True, signed: False. This undirected network contains nouns (places and names) of the King James Version of the Bible and information about their co-occurrences. A node represents one of the above noun types and an edge indicates that two nouns appeared together in the same Bible verse. The edge multiplicity denotes ho. Suitable for semantic network analysis.
A Fediverse (misskey, federation graph) dataset of 1,765 nodes, 360,281 edges (60 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains undirected edges between instances that have ever communicated, with instances.csv providing node metadata. The dataset is notable for its communication backbone graph where nodes are instances and edges represent any past interaction (undirected), showing how servers in the Fediverse are connected at the infrastructure level. Intended for research into decentralized network topology analysis, infrastructure resilience, cross-instance communication patterns, and federation policy impact studies.
A Human protein interaction network (Stelzl et al.) dataset of 1,706 nodes and 6,207 edges, collected by U. Stelzl et al.. Each record contains directed: True, weighted: False. Human protein-protein interaction network from Stelzl et al. — yeast two-hybrid screening.. Suitable for biological network analysis, protein interaction research.
A Facebook (Swarthmore42, September 2005) dataset of 1,659 users and 61,050 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (48 unique), dorm (17 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: 0.0663, major homophily: 0.0403.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Stack Exchange (genai.stackexchange.com) dataset of 192 users, 241 answer-collaboration edges, 268 questions, 320 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 genai.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 (Simmons81, September 2005) dataset of 1,518 users and 32,988 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (99% male, 1% female), graduation year, major (53 unique), dorm (10 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: 0.0079, major homophily: 0.0617.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Chicago regional road network (TNTP benchmark) dataset of 1,467 nodes and 1,298 edges, collected by Transportation Networks for Research (TNTP). Each record contains directed: False, weighted: False. Road network of the Chicago metropolitan area — classic transportation network benchmark.. Suitable for transportation network analysis, routing algorithms, network flow.
A Facebook (Haverford76, September 2005) dataset of 1,446 users and 59,589 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (54% male, 46% female), graduation year, major (51 unique), dorm (15 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: 0.0643, major homophily: 0.0372.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A UC Irvine online student forum dataset of 1,421 nodes and 7,089 edges, collected by T. Opsahl. Each record contains directed: False, weighted: True, signed: False. Temporal bipartite network of students posting to forum threads with Unix timestamps.. Suitable for temporal bipartite network analysis, online community analysis.
A Fediverse (misskey, active_user graph) dataset of 1,274 nodes, 19,491 edges (24 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains directed, weighted edges based on user follow activity across instances, aggregated over time. The dataset is notable for its influence-weighted graph where nodes are instances and directed edges represent user following behavior (weighted by count), showing which servers generate content consumed by users on other servers. Intended for research into information flow analysis, influence measurement, content source tracking, and cross-instance user attention studies.
A FAA air traffic control network dataset of 1,226 nodes and 2,615 edges, collected by A. Ma'ayan et al.. Each record contains directed: True, weighted: False. FAA air traffic control network from the Ma'ayan lab dataset collection.. Suitable for infrastructure network analysis, biological network benchmarking.
Facebook
Voat
Stack Exchange
LinkedIn
Fediverse
Petster