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 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 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 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 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 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 Blogger.com (2004) dataset of 2,200 bloggers, 2,557 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.
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 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 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 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 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 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 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 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 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 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 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 University freshman friendship survey (longitudinal) dataset of 32 nodes and 710 edges, collected by Van de Bunt et al.. Each record contains directed edges: True, weighted: True, signed: True. This directed network contains friendship ratings between 32 university freshmen who mostly did not know each other before starting university. Each student was asked to rate the other student at seven different time points. Note that the origin of the timestamps is not accurately known but the dis. Suitable for longitudinal social network analysis, friendship formation. The file holds 3,062 ratings, one row per rating in each survey wave; the edge count of 710 counts distinct pairs.
A Seventh grade classroom friendship survey dataset of 29 nodes and 376 edges, collected by J.L. Moreno. Each record contains directed edges: True, weighted: True, signed: False. This directed network contains proximity ratings between studetns from 29 seventh grade students from a school in Victoria. Among other questions the students were asked to nominate their preferred classmates for three different activities. A node represents a student. An edge between two nodes show. Suitable for social network analysis, community detection.
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