FacebookFacebook is a social networking service launched in 2004 by Mark Zuckerberg and fellow students at Harvard, now owned by Meta Platforms. Users connect as friends, share posts, photos and links, and join groups and pages; it is the largest social network by number of users. Website ↗
122 datasets tagged as the platform “Facebook”.
122 datasets.
A Multiple Platforms dataset of 2,469,836 posts, 26,496,468 responses across 5 platforms, collected by Peixian and Zhang. Each record contains platform, posts, responses, op_gender, responder_gender, sentiment, relevance. Cumulative rtGender dataset combining all platforms for cross-platform gender analysis. Suitable for cross-platform gender analysis, sentiment comparison, response prediction.
A Facebook Congress dataset of 548,341 posts, 13,866,507 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Facebook Congress — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
A Facebook Wiki dataset of 149,448 posts, 10,667,500 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Facebook Wiki — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
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.
Synthetic data: 150,000 generated social-media posts about Nigerian telecom operators (MTN, Airtel, Glo, 9mobile), published on Hugging Face by THUgewu as 'africa-synth'. The posts are not real user content. The file groups them into 978 rows by platform, operator, city and sentiment, with one list per field (post ID, time, text, issue category, likes, shares, comments, reach, sentiment score, operator response). Suitable for testing sentiment and customer-service pipelines, not for studying real users.
A Facebook (social media platform) dataset of 134,833 Facebook pages and 1,379,403 undirected mutual-like edges across 8 page categories (company, politician, tvshow, government, artist, new_sites, public_figure, athletes), collected by Rozemberczki et al. via Facebook Graph API, distributed via GEMSEC/SNAP. Each record contains undirected edges between Facebook pages representing mutual likes; pages categorized as company, politician, TV show, government, artist, news site, public figure, or athlete; node IDs namespaced by category. The dataset is notable for its multi-category Facebook page network with known ground-truth category labels per node, enabling direct evaluation of community detection and node classification algorithms across heterogeneous page types. Intended for research into community detection, node classification, graph embedding, cross-category network comparison, and social media page recommendation research.
Synthetic, templated data: 75,000 short texts labelled with one of 6 harassment categories or non-toxic (10,714 or 10,715 each), with a 'platform' value (Facebook, Instagram, Reddit, news portal) and character offsets of the toxic span. The texts are generated from a small set of templates: the toxic rows use only 30 distinct toxic phrases, and every row ends in a '(Ref Node: #NNNNNN)' token. The platform values are assigned, not observed. Published on Mendeley Data. Suitable for testing span-tagging code, not for measuring real cyberbullying.
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.
A Facebook (Penn94, September 2005) dataset of 41,554 users and 1,362,229 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (47% male, 53% female), graduation year, major (273 unique), dorm (166 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: 0.0209, major homophily: 0.0495.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Texas84, September 2005) dataset of 36,371 users and 1,590,655 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (107 unique), dorm (92 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: 0.0631, major homophily: 0.0523.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UF21, September 2005) dataset of 35,123 users and 1,465,660 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (55% male, 45% female), graduation year, major (169 unique), dorm (272 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: 0.0807, major homophily: 0.0443.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (MSU24, September 2005) dataset of 32,375 users and 1,118,774 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (55% male, 45% female), graduation year, major (272 unique), dorm (120 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: 0.0062, major homophily: 0.0399.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Texas80, September 2005) dataset of 31,560 users and 1,219,650 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (126 unique), dorm (106 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: 0.0945, major homophily: 0.06.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UIllinois20, September 2005) dataset of 30,809 users and 1,264,428 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (49% male, 51% female), graduation year, major (169 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: 0.1127, major homophily: 0.0504.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Michigan23, September 2005) dataset of 30,147 users and 1,176,516 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (154 unique), dorm (105 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: 0.0753, major homophily: 0.0606.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
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.
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.
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.
A Facebook (Rutgers89, September 2005) dataset of 24,580 users and 784,602 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (129 unique), dorm (112 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: 0.0309, major homophily: 0.0585.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UGA50, September 2005) dataset of 24,389 users and 1,174,057 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (59% male, 41% female), graduation year, major (218 unique), dorm (67 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: 0.1045, major homophily: 0.0323.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Wisconsin87, September 2005) dataset of 23,842 users and 835,952 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (55% male, 45% female), graduation year, major (265 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: 0.0467, major homophily: 0.0371.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
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.
A Facebook (NYU9, September 2005) dataset of 21,679 users and 715,715 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (60% male, 40% female), graduation year, major (109 unique), dorm (62 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: -0.0031, major homophily: 0.1059.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Virginia63, September 2005) dataset of 21,325 users and 698,178 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (44% male, 56% female), graduation year, major (72 unique), dorm (90 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: 0.0671, major homophily: 0.052.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Maryland58, September 2005) dataset of 20,871 users and 744,862 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (50% male, 50% female), graduation year, major (97 unique), dorm (82 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: 0.0558, major homophily: 0.052.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UCLA26, September 2005) dataset of 20,467 users and 747,613 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (197 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: 0.0305, major homophily: 0.0452.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
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.
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.
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.
A Facebook (UNC28, September 2005) dataset of 18,163 users and 766,800 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (58% male, 42% female), graduation year, major (73 unique), dorm (93 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: 0.0469.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (USC35, September 2005) dataset of 17,444 users and 801,853 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (50% male, 50% female), graduation year, major (133 unique), dorm (130 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: 0.0861, major homophily: 0.0797.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Oklahoma97, September 2005) dataset of 17,425 users and 892,528 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (157 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: 0.1118, major homophily: 0.0366.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UConn91, September 2005) dataset of 17,212 users and 604,870 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (162 unique), dorm (119 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: 0.0118, major homophily: 0.047.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UVA16, September 2005) dataset of 17,196 users and 789,321 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (54% male, 46% female), graduation year, major (98 unique), dorm (137 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: 0.0967, major homophily: 0.0521.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Tennessee95, September 2005) dataset of 16,979 users and 770,659 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (138 unique), dorm (61 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: 0.0543, major homophily: 0.038.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UC33, September 2005) dataset of 16,808 users and 522,147 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (55% male, 45% female), graduation year, major (125 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: 0.0205, major homophily: 0.0356.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UMass92, September 2005) dataset of 16,516 users and 519,385 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (115 unique), dorm (73 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: -0.0461, major homophily: 0.0669.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (MU78, September 2005) dataset of 15,436 users and 649,449 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (111 unique), dorm (86 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: 0.1212, major homophily: 0.0468.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
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.
A Facebook (UCSD34, September 2005) dataset of 14,948 users and 443,221 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (54% male, 46% female), graduation year, major (109 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: 0.0305, major homophily: 0.0321.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UCF52, September 2005) dataset of 14,940 users and 428,989 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (55% male, 45% female), graduation year, major (125 unique), dorm (86 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: 0.0288, major homophily: 0.0314.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UCSB37, September 2005) dataset of 14,935 users and 482,224 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (57% male, 43% female), graduation year, major (113 unique), dorm (74 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: -0.0032, major homophily: 0.0401.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (UPenn7, September 2005) dataset of 14,916 users and 686,501 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (49% male, 51% female), graduation year, major (120 unique), dorm (64 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: 0.0906, major homophily: 0.0539.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
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.
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.
A Facebook (Northeastern19, September 2005) dataset of 13,882 users and 381,934 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (79 unique), dorm (71 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: -0.006, major homophily: 0.0974.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
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.
A YouTube (with cross-platform spread on Twitter and Facebook) dataset of 7,659 removed YouTube videos with multilingual titles and descriptions, 249,346 associated tweets, and 18,897,277 Facebook shares, collected by Knuutila (2021) via YouTube Data API and CrowdTangle, tracking videos shared on public social media that were subsequently removed by YouTube for COVID-19 misinformation. Each record contains video titles and descriptions in multiple languages, view counts and subscriber counts where recoverable, Facebook reactions/comments/shares, Twitter and Facebook post ID lists for social spread tracking, removal and publication timestamps, and Wayback Machine archive URLs. The dataset is notable for its one of the few public datasets documenting the complete lifecycle of platform-removed health misinformation, linking video metadata to cross-platform social spread and enabling research into both content and dissemination patterns of COVID-19 misinformation. Intended for research into health misinformation detection, content moderation research, cross-platform information spread analysis, COVID-19 infodemic studies, multilingual misinformation narrative analysis, and platform policy impact assessment.
A Facebook (UC61, September 2005) dataset of 13,746 users and 442,174 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (88 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: 0.0026, major homophily: 0.0572.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
A Facebook (Temple83, September 2005) dataset of 13,686 users and 360,795 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (57% male, 43% female), graduation year, major (157 unique), dorm (27 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: -0.0668, major homophily: 0.0565.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Fitocracy
Reddit
Instagram
Twitter (X)
YouTube