A Political blogosphere (US 2004 election) dataset of 1,224 nodes and 19,025 edges, collected by Adamic & Glance via blog crawl. Each record contains directed edges: True, weighted: False, signed: False. This directed network contains front-page hyperlinks between blogs in the context of the 2004 US election. A node represents a blog and an edge represents a hyperlink between two blogs.. Suitable for political polarization, community detection, information diffusion.
The international E-road network, a road network located mostly in Europe, compiled by Lovro Šubelj and Marko Bajec and distributed by KONECT (subelj_euroroad): 1,174 cities linked by 1,417 undirected roads, where an edge means two cities are joined by an E-road. City names are included. Useful for studying spatial and infrastructure networks, network robustness and community detection.
A Fediverse (pleroma, federation graph) dataset of 1,170 nodes, 185,908 edges (61 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 University Rovira i Virgili (email communication network) dataset of 1,133 nodes and 5,451 edges, collected by R. Guimerà et al.. Each record contains directed: False, weighted: False, signed: False. Email communication network of a university — classic benchmark for community detection algorithms.. Suitable for community detection, email network analysis, graph algorithm benchmarking.
A European research institution internal email system dataset of 986 employees and 332,334 directed email interactions across 42 departments, collected by Leskovec et al. via SNAP (anonymized institutional email logs). Each record contains sender employee ID, recipient employee ID, Unix timestamp, and department label per employee (42 departments). Temporal directed email communication network from a European research institution with ground-truth department labels for all 986 employees — enabling evaluation of community detection algorithms against known organizational structure.. Suitable for community detection benchmarking, organizational network analysis, temporal email network analysis, higher-order graph clustering.
A Facebook (Reed98, September 2005) dataset of 962 users and 18,812 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (58% male, 42% female), graduation year, major (42 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: 0.0219, major homophily: 0.0418.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Voat (Reddit alternative, 2013–2020) dataset of 321 submissions, 422 comments, 42 users, 63 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/PizzagateNoMod, covering its full lifetime on the platform (2013–2020). Includes all 321 submissions and 422 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Democratic National Committee (email communications, 2016) dataset of 906 nodes and 10,429 edges, collected by WikiLeaks DNC email leak. Each record contains directed: False, weighted: True, signed: False, temporal: False. Weighted undirected co-recipient network from the leaked DNC emails — two people are connected if they appeared together on email threads, with edge weights indicating co-occurrence frequency.. Suitable for political network analysis, email network analysis, community detection.
A Terrorist Relations dataset of 881 nodes, 8,592 edges, 4 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. Terrorist Relations network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.
A Unicode CLDR language data dataset of 868 nodes and 1,255 edges, collected by KONECT via Unicode CLDR. Each record contains directed: False, weighted: True. Bipartite weighted network of languages and Unicode scripts, with edge weights representing similarity scores.. Suitable for linguistic network analysis, language typology, script similarity.
A Fediverse (pleroma, active_user graph) dataset of 821 nodes, 1,801 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 Fediverse (lemmy, federation graph) dataset of 779 nodes, 166,096 edges (62 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 Fediverse (lemmy, federation_with_blocks graph) dataset of 779 nodes, 289,473 edges (62 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains directed edges with signs (+ for federation, - for blocks) between instances. The dataset is notable for its directed graph with both positive (federation) and negative (block) edges, showing communication relationships alongside active blocking between instances. Intended for research into defederation studies, conflict resolution, trust and distrust analysis in decentralized networks.
A Facebook (Caltech36, September 2005) dataset of 769 users and 16,656 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (32% male, 68% female), graduation year, major (30 unique), dorm (8 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: 0.0539, major homophily: 0.0349.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Terrorist Attacks dataset of 645 nodes, 3,172 edges, 6 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. Terrorist Attacks network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.
A Facebook dataset of 620 pages, 2,102 mutual likes, collected by Rozemberczki et al. via the Facebook Graph API (November 2017). Each record contains undirected edges between blue verified Facebook food pages that mutually liked each other, with node attributes including page name and raw Facebook ID. Graph of blue verified Facebook food pages, where edges represent mutual likes between pages, capturing how users discover and engage with culinary content. Suitable for community detection in social networks, graph embedding, food influence analysis, culinary content engagement studies.
A Fediverse (friendica, federation graph) dataset of 594 nodes, 70,812 edges (59 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 Fediverse (lemmy, cross_instance graph) dataset of 557 nodes, 4,701 edges (24 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains undirected edges between instances that communicate across different software platforms. The dataset is notable for its undirected graph of communication between instances, specifically capturing how different servers interact across the broader Fediverse. Intended for research into cross-platform communication analysis, inter-server community detection, and federated network structure studies.
A Fediverse (lemmy, intra_instance graph) dataset of 557 nodes, 2,398 edges (24 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains directed edges representing internal interactions within a single instance. The dataset is notable for its directed sparse graph capturing internal, within-instance communication patterns that are not visible in cross-instance graphs. Intended for research into internal community structure, local user interaction patterns, and instance-level activity analysis.
A C. elegans metabolic network dataset of 453 nodes and 2,040 edges, collected by H. Jeong et al.. Each record contains directed: False, weighted: True, signed: False. Metabolic network of C. elegans — classic biological network benchmark.. Suitable for biological network analysis, community detection, scale-free network research.
A Science Gallery Dublin (Infectious exhibition, 2009) dataset of 410 nodes and 2,765 edges, collected by SocioPatterns collaboration via RFID proximity sensing. Each record contains directed: False, weighted: True, signed: False, temporal: True. High-resolution face-to-face contact network of 410 visitors at a science exhibition, recorded via RFID sensors at 20-second resolution. One of the canonical SocioPatterns datasets for epidemic modeling.. Suitable for epidemic modeling, contact network analysis, temporal networks. The file holds 17,298 contacts, one row per 20-second face-to-face contact; the edge count of 2,765 counts distinct pairs.
A WebKB wisconsin dataset of 265 web pages, 479 hyperlinks, collected by Yang et al. (ICML 2016). Each record contains web page features, hyperlink edges, class labels. WebKB wisconsin university web page classification dataset. Suitable for node classification, web page categorization, graph neural networks.
A Medical innovation adoption network dataset of 241 nodes and 1,098 edges, collected by Coleman et al.. Each record contains directed edges: True, weighted: False, signed: False. This directed network captures innovation spread among 246 physicians in for towns in Illinois, Peoria, Bloomington, Quincy and Galesburg. The data was collected in 1966. A node represents a physician and an edge between two physicians shows that the left physician told that the righ physician is hi. Suitable for diffusion of innovations, social influence.
A WebKB washington dataset of 230 web pages, 417 hyperlinks, collected by Yang et al. (ICML 2016). Each record contains web page features, hyperlink edges, class labels. WebKB washington university web page classification dataset. Suitable for node classification, web page categorization, graph neural networks.
A NDS-VU signed network repository dataset of 220 Congress members and 521 signed co-sponsorship edges, 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. Signed network of U.S. Congress members based on bill co-sponsorship patterns, where positive edges indicate co-sponsorship and negative edges indicate opposition, enabling political alignment and polarization analysis. Suitable for political polarization, signed network analysis, legislative behavior.
A friendship-rating network of 217 residents of a residence hall at the Australian National University (217 nodes, 2,672 edges), collected by Freeman, Webster & Kirke. Each record contains directed edges: True, weighted: True, signed: False. This directed network contains friendship ratings between 217 residents living at a residence hall located on the Australian National University campus. A node represents a person and. Suitable for social network analysis, community detection.
A PDZBase protein domain interaction database dataset of 212 nodes and 244 edges, collected by A. Ma'ayan et al.. Each record contains directed: False, weighted: False. PDZ domain protein-protein interaction network from the PDZBase database.. Suitable for biological network analysis, domain interaction research.
A Jazz musician collaboration (recordings 1912–1940) dataset of 198 nodes and 2,742 edges, collected by P. Gleiser & L. Danon. Each record contains directed: False, weighted: False, signed: False. Collaboration network of jazz musicians who recorded together — classic small-world benchmark.. Suitable for community detection, small-world networks, graph algorithm benchmarking.
A WebKB cornell dataset of 195 web pages, 286 hyperlinks, collected by Yang et al. (ICML 2016). Each record contains web page features, hyperlink edges, class labels. WebKB cornell university web page classification dataset. Suitable for node classification, web page categorization, graph neural networks.
A WebKB texas dataset of 187 web pages, 298 hyperlinks, collected by Yang et al. (ICML 2016). Each record contains web page features, hyperlink edges, class labels. WebKB texas university web page classification dataset. Suitable for node classification, web page categorization, graph neural networks.
A Ecological food web (Ma'ayan lab collection) dataset of 183 nodes and 2,494 edges, collected by A. Ma'ayan et al.. Each record contains directed: True, weighted: False. Ecological food web network from the Ma'ayan lab dataset collection.. Suitable for ecological network analysis, food web topology.
A Manufacturing company internal email system (Poland) dataset of 167 nodes and 5,784 edges, collected by Michalski et al. via corporate email logs. Each record contains directed: True, weighted: True, signed: False, temporal: True. Temporal directed email communication network of 167 employees at a manufacturing company over 10 months, with Unix timestamps per message. Useful for studying organizational communication patterns.. Suitable for organizational network analysis, temporal email networks, community detection. The file holds 82,927 e-mails, one row per message; the edge count of 5,784 counts distinct pairs.
A Fediverse (bookwyrm, federation graph) dataset of 151 nodes, 4,966 edges (62 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 American Revolution organization membership bipartite network dataset of 141 nodes and 160 edges, collected by T.W. Brunson. Each record contains directed: False, weighted: False, signed: False. Bipartite network of American revolutionaries and the organizations they belonged to.. Suitable for historical network analysis, bipartite network analysis.
A Florida Bay ecosystem (dry season) dataset of 128 nodes and 2,137 edges, collected by R.E. Ulanowicz et al.. Each record contains directed: True, weighted: True, signed: False. Directed weighted ecological food web of the Florida Bay in dry season — complement to the wet season network.. Suitable for ecological network analysis, seasonal network comparison, food web topology.
A Florida Bay ecosystem (wet season) dataset of 128 nodes and 2,106 edges, collected by R.E. Ulanowicz et al.. Each record contains directed: True, weighted: True, signed: False. Directed weighted ecological food web of the Florida Bay in wet season — edges represent biomass flow between species.. Suitable for ecological network analysis, food web topology, trophic structure.
A ACM Hypertext 2009 conference (Turin, Italy) dataset of 113 nodes and 2,196 edges, collected by SocioPatterns collaboration via RFID proximity sensing. Each record contains directed: False, weighted: True, signed: False, temporal: True. Face-to-face contact network of 113 conference attendees over 2.5 days, captured at 20-second resolution via RFID badges. Canonical dataset for studying conference social dynamics.. Suitable for temporal contact network analysis, community detection, epidemic modeling. The file holds 20,818 contacts, one row per 20-second face-to-face contact; the edge count of 2,196 counts distinct pairs.
A David Copperfield novel (word adjacency network) dataset of 112 nodes and 425 edges, collected by M.E.J. Newman. Each record contains directed: False, weighted: False, signed: False. Word adjacency network of adjectives and nouns in David Copperfield — classic linguistic network benchmark.. Suitable for linguistic network analysis, community detection benchmark.
A MIT Media Lab (mobile phone Bluetooth proximity sensing) dataset of 96 nodes and 2,539 edges, collected by Nathan Eagle & Alex Pentland via mobile phone study. Each record contains directed: False, weighted: True, signed: False, temporal: True. Bluetooth proximity contact network of 100 MIT students and faculty over 9 months. One of the earliest large-scale mobile sensing datasets, with temporal edges capturing when people were physically near each other.. Suitable for temporal network analysis, proximity sensing, community detection, mobility.
A Literary character co-occurrence (Les Misérables) dataset of 77 nodes and 254 edges, collected by D.E. Knuth. Each record contains directed edges: False, weighted: True, signed: False. This undirected network contains co-occurances of characters in Victor Hugo's novel 'Les Misérables'. A node represents a character and an edge between two nodes shows that these two characters appeared in the same chapter of the the book. The weight of each link indicates how often such a co-appear. Suitable for community detection benchmark, graph algorithm testing.
A Small highschool in Illinois (offline survey, 1957–1958) dataset of 70 nodes and 366 edges, collected by J.L. Moreno via sociometric survey. Each record contains directed edges: True, weighted: True, signed: False. This directed network contains friendships between boys in a small highschool in Illinois. Each boy was asked once in the fall of 1957 and the spring of 1958. This dataset aggregates the results from both dates. A node represents a boy and an edge between two boys shows that the left boy chose the r. Suitable for community detection, friendship network analysis, social influence.
A Madrid train bombing terrorist network (2004) dataset of 64 nodes and 243 edges, collected by KONECT. Each record contains directed edges: False, weighted: True, signed: False. This undirected network contains contacts between suspected terrorists involved in the train bombing of Madrid on March 11, 2004 as reconstructed from newspapers. A node represents a terrorist and an edge between two terrorists shows that there was a contact between the two terroists. The edge weigh. Suitable for dark network analysis, community detection.
A Bottlenose dolphin community (Doubtful Sound, New Zealand) dataset of 62 nodes and 159 edges, collected by D. Lusseau et al.. Each record contains directed: False, weighted: False, signed: False. Classic benchmark: 62 bottlenose dolphins with frequent associations — widely used to validate community detection algorithms.. Suitable for community detection benchmark, animal social network analysis.
A Macaque grooming behavior observation dataset of 62 nodes and 1,187 edges, collected by KONECT. Each record contains directed edges: True, weighted: True, signed: False. This directed network contains dominance behaviour in a colony of 62 adult female Japanese macaques (<i>Macaca fuscata fuscata</i>). A node represents a macaque and a directed edge A → B represents dominance of macaque A over macaque B.. Suitable for animal social network analysis.
A USA state border adjacency (geographic network) dataset of 49 nodes and 107 edges, collected by KONECT. Each record contains directed: False, weighted: False, signed: False. Geographic adjacency network of the 48 contiguous US states — nodes are states, edges connect bordering states.. Suitable for geographic network analysis, graph coloring, planar graph benchmarking.
A Corporate board membership bipartite network dataset of 44 nodes and 99 edges, collected by T.W. Brunson. Each record contains directed: False, weighted: False, signed: False. Bipartite network linking corporate executives to boards they sit on.. Suitable for bipartite network analysis, corporate network analysis, interlocking directorates.
A Windsurfer social interaction at a beach dataset of 43 nodes and 336 edges, collected by Freeman et al.. Each record contains directed edges: False, weighted: True, signed: False. This undirected network contains interpersonal contacts between windsurfers in southern California during the fall of 1986. A node represents a windsurfer and an edge between two windsurfers shows that there was a interpersonal contact.. Suitable for social network analysis, community detection.
A Club membership bipartite network dataset of 40 nodes and 95 edges, collected by T.W. Brunson. Each record contains directed: False, weighted: False, signed: False. Bipartite network of person-club memberships — classic affiliation network.. Suitable for bipartite network analysis, community detection, affiliation networks.
A University karate club (W.W. Zachary observation study) dataset of 34 nodes and 78 edges, collected by W.W. Zachary. Each record contains directed: False, weighted: False, signed: False. The most widely cited network in graph research — 34-node karate club that split into two factions, used to validate virtually every community detection algorithm.. Suitable for community detection benchmark, foundational social network analysis.
A Hen dominance pecking order observation dataset of 32 nodes and 496 edges, collected by KONECT. Each record contains directed edges: True, weighted: False, signed: False. This directed network contains the peck order of 32 White Leghorn hens observed in 1946. A node represents a hen and an edge represents dominance of the left hen over the right hen.. Suitable for animal social network analysis, hierarchy detection.
Fediverse
Facebook
Voat
WebKB