Enron Email Network Analyzed
A Enron dataset of 1,148,072 emails, collected by Network Repository. Each record contains email communication. Enron email network from the 1999-2002 period. Suitable for organizational communication, network analysis.
Recently added
Datasets most recently added to the repository.
1,179 datasets — page 5 of 24.
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.
WikipediaEpinions Social Network (Signed) Analyzed
A Epinions.com (consumer review platform) dataset of 131,828 users and 841,372 directed signed edges (717,667 trust, 123,705 distrust), collected by Richardson et al. via Epinions.com crawl, distributed by SNAP. Each record contains directed signed edges between users: +1 indicates explicit trust, -1 indicates explicit distrust, capturing both positive and negative social relationships. one of the largest publicly available signed social networks, with explicit user-declared trust and distrust labels rather than inferred sentiment — making it ideal for signed graph algorithm benchmarking. Suitable for signed network analysis, trust propagation, link sign prediction, community detection in signed graphs, and balance theory validation.
EpinionsEscorts Review Network Analyzed
A Escort review website (sex worker review community) dataset of 16,730 nodes and 39,044 edges, collected by Rocha et al. via web crawl. Each record contains directed: False, weighted: True, signed: True, temporal: True. Bipartite signed network of escort reviews: clients rate escorts +1 (positive), 0 (neutral), or -1 (negative), with Unix timestamps. One of the few large-scale signed bipartite networks available.. Suitable for signed network analysis, bipartite network analysis, trust propagation.
Facebook WOSN Social Network Analyzed
A Facebook dataset of 817,035 edges, collected by Network Repository. Each record contains user-user friendships. Facebook social graph from WOSN. Suitable for social network analysis, community detection.
FacebookFake News Detection Dataset Analyzed
A News Articles (multiple sources) dataset of 9,900 news articles (5,000 fake, 4,900 real), collected by Vishakh Dapat via Kaggle (2023). Each record contains full article text and binary veracity label (Fake or Real). The dataset is notable for its balanced binary-labeled news corpus with approximately equal proportions of fake and real articles, making it well-suited as a classification benchmark. Intended for research into fake news detection, text classification benchmarking, misinformation topic modeling, and NLP feature engineering.
Fakeddit: Multimodal Fake News Detection Analyzed
A Fakeddit (multimodal fake news benchmark) dataset of 965,647 Reddit submissions with text, images and metadata, collected by Nakamura et al. via the Reddit API (2020). Each record holds the post title, text, image URL, comment count, score, timestamp and 2-, 3- and 6-way veracity labels (6-way: true, satire/parody, misleading content, imposter content, false connection, manipulated content). Suitable for fake news detection, multimodal learning and misinformation classification.
RedditFakeNewsNet: Fake News Detection with Social Context Analyzed
A FakeNewsNet (fake news with social context) dataset of 23,196 news articles labeled fake/real with social media context, collected by Shu et al. via Politifact and GossipCop (2019). Each record contains news title, article text, binary label (0=real, 1=fake), source (politifact/gossipcop), publish date, and URL. The dataset is notable for its dataset with social context and spatiotemporal information for studying fake news propagation. Intended for research into fake news detection, social media analysis, misinformation propagation, and multimodal research.
Facebook Pages — Artist Category (Nov 2017) Analyzed
A Facebook dataset of 50,515 pages, 819,306 mutual likes, collected by Rozemberczki et al. via the Facebook Graph API (November 2017). Each record contains undirected edges between blue verified Facebook artist pages that mutually liked each other, with node attributes including page name and raw Facebook ID. Graph of blue verified Facebook artist pages, where edges represent mutual likes between pages, capturing how users discover and engage with artist content. Suitable for community detection in social networks, graph embedding, artist influence analysis, fanbase overlap studies.
Facebook Pages — Company Category (Nov 2017) Analyzed
A Facebook dataset of company page mutual-like edges from November 2017, collected by Rozemberczki et al. via the Facebook Graph API. Each record contains undirected edges between company pages that mutually liked each other, with node attributes including page name and category. undirected structure capturing symmetric inter-company endorsement relationships across multiple industries. Suitable for corporate social media behavior, community detection, and undirected social network analysis.
Facebook Pages — Food Category (Nov 2017) Analyzed
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.
Facebook Pages — Government Category (Nov 2017) Analyzed
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.
Facebook Pages — Media Category (Nov 2017) Analyzed
A Facebook dataset of 27,917 pages, 206,259 mutual likes, collected by Rozemberczki et al. via the Facebook Graph API (November 2017). Each record contains undirected edges between blue verified Facebook media pages that mutually liked each other, with node attributes including page name and raw Facebook ID. Graph of blue verified Facebook media pages, where edges represent mutual likes between pages, capturing how users discover and engage with media and news content. Suitable for community detection in social networks, graph embedding, media influence analysis, news consumption studies, journalism and media network analysis.
Facebook Pages — Politician Category (Nov 2017) Analyzed
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.
Facebook Pages — Public Figure Category (Nov 2017) Analyzed
A Facebook dataset of 11,565 pages, 67,114 mutual likes, collected by Rozemberczki et al. via the Facebook Graph API (November 2017). Each record contains undirected edges between blue verified Facebook public figure pages that mutually liked each other, with node attributes including page name and raw Facebook ID. Graph of blue verified Facebook public figure pages, where edges represent mutual likes between pages, capturing how audiences engage with celebrities, influencers, and notable personalities. Suitable for community detection in social networks, graph embedding, celebrity influence analysis, public figure engagement studies, social media personality network analysis.
Facebook Pages — Sport Category (Nov 2017) Analyzed
A Facebook dataset of 13,866 pages, 86,858 mutual likes, collected by Rozemberczki et al. via the Facebook Graph API (November 2017). Each record contains undirected edges between blue verified Facebook sport pages that mutually liked each other, with node attributes including page name and raw Facebook ID. Graph of blue verified Facebook sport pages, where edges represent mutual likes between pages, capturing how fans engage with sports teams, athletes, and sporting content. Suitable for community detection in social networks, graph embedding, sports fan engagement analysis, team rivalry studies, sports media and fandom network analysis.
Facebook Pages — TV Show Category (Nov 2017) Analyzed
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.
Facebook American75 Network (FB100) Analyzed
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.
Facebook Amherst41 Network (FB100) Analyzed
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.
Facebook Auburn71 Network (FB100) Analyzed
A Facebook (Auburn71, September 2005) dataset of 18,448 users and 973,918 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (172 unique), dorm (79 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: 0.0946, major homophily: 0.04.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Baylor93 Network (FB100) Analyzed
A Facebook (Baylor93, September 2005) dataset of 12,803 users and 679,817 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (59% male, 41% female), graduation year, major (123 unique), dorm (65 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: 0.0957, major homophily: 0.0446.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook BC17 Network (FB100) Analyzed
A Facebook (BC17, September 2005) dataset of 11,509 users and 486,967 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (52 unique), dorm (33 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: 0.0145, major homophily: 0.0438.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Berkeley13 Network (FB100) Analyzed
A Facebook (Berkeley13, September 2005) dataset of 22,937 users and 852,444 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (106 unique), dorm (217 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: 0.0513, major homophily: 0.0588.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Bingham82 Network (FB100) Analyzed
A Facebook (Bingham82, September 2005) dataset of 10,004 users and 362,894 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (50% male, 50% female), graduation year, major (83 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: 0.015, major homophily: 0.0481.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Bowdoin47 Network (FB100) Analyzed
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.
Facebook Brandeis99 Network (FB100) Analyzed
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.
Facebook Brown11 Network (FB100) Analyzed
A Facebook (Brown11, September 2005) dataset of 8,600 users and 384,526 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (92 unique), dorm (58 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: 0.0422.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook BU10 Network (FB100) Analyzed
A Facebook (BU10, September 2005) dataset of 19,700 users and 637,528 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (60% male, 40% female), graduation year, major (166 unique), dorm (66 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: 0.0205, major homophily: 0.069.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Bucknell39 Network (FB100) Analyzed
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.
Facebook Cal65 Network (FB100) Analyzed
A Facebook (Cal65, September 2005) dataset of 11,247 users and 351,358 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (47% male, 53% female), graduation year, major (65 unique), dorm (66 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: 0.0221, major homophily: 0.1054.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Caltech36 Network (FB100) Analyzed
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.
Facebook Carnegie49 Network (FB100) Analyzed
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.
Facebook Colgate88 Network (FB100) Analyzed
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.
Facebook Columbia2 Network (FB100) Analyzed
A Facebook (Columbia2, September 2005) dataset of 11,770 users and 444,333 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (58% male, 42% female), graduation year, major (92 unique), dorm (53 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: 0.0873, major homophily: 0.0455.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Cornell5 Network (FB100) Analyzed
A Facebook (Cornell5, September 2005) dataset of 18,660 users and 790,777 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (48% male, 52% female), graduation year, major (104 unique), dorm (133 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: 0.0907, major homophily: 0.0884.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Dartmouth6 Network (FB100) Analyzed
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.
Facebook Duke14 Network (FB100) Analyzed
A Facebook (Duke14, September 2005) dataset of 9,895 users and 506,442 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (48% male, 52% female), graduation year, major (66 unique), dorm (135 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: 0.1014, major homophily: 0.0446.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Emory27 Network (FB100) Analyzed
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.
Facebook FSU53 Network (FB100) Analyzed
A Facebook (FSU53, September 2005) dataset of 27,737 users and 1,034,802 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (58% male, 42% female), graduation year, major (138 unique), dorm (134 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: 0.0393, major homophily: 0.0429.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Georgetown15 Network (FB100) Analyzed
A Facebook (Georgetown15, September 2005) dataset of 9,414 users and 425,638 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (89 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: 0.0145, major homophily: 0.0449.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook GWU54 Network (FB100) Analyzed
A Facebook (GWU54, September 2005) dataset of 12,193 users and 469,528 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (107 unique), dorm (75 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: 0.0281, major homophily: 0.0443.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Hamilton46 Network (FB100) Analyzed
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.
Facebook Harvard1 Network (FB100) Analyzed
A Facebook (Harvard1, September 2005) dataset of 15,126 users and 824,617 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (46% male, 54% female), graduation year, major (59 unique), dorm (42 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: 0.0582, major homophily: 0.0528.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Haverford76 Network (FB100) Analyzed
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.
Facebook Howard90 Network (FB100) Analyzed
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 Indiana69 Network (FB100) Analyzed
A Facebook (Indiana69, September 2005) dataset of 29,747 users and 1,305,765 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (54% male, 46% female), graduation year, major (152 unique), dorm (97 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: 0.0151, major homophily: 0.0436.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook JMU79 Network (FB100) Analyzed
A Facebook (JMU79, September 2005) dataset of 14,070 users and 485,564 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (64% male, 36% female), graduation year, major (86 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: -0.0091, major homophily: 0.0534.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Facebook Johns Hopkins55 Network (FB100) Analyzed
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.
Facebook Lehigh96 Network (FB100) Analyzed
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.
Facebook Maine59 Network (FB100) Analyzed
A Facebook (Maine59, September 2005) dataset of 9,069 users and 243,247 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (55% male, 45% female), graduation year, major (80 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: -0.0049, major homophily: 0.0596.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.