All datasets

Every dataset indexed by ECHO, A to Z.

1,179 datasets — page 5 of 24.

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Data types

Evidence of a Coordinated Network Amplifying Inauthentic Narratives in the 2020 Election Analyzed

A Twitter dataset of 32 nodes, 496 edges, collected by Yang, Ferrara, and Menczer (OSoMe/Indiana University). Each record contains user network (GML), suspicious tweet text, message cascades, targeted media accounts. Network and content evidence of a coordinated inauthentic influence operation targeting the 2020 US presidential election on Twitter.. Suitable for Coordinated inauthentic behavior detection, influence operations research, election integrity analysis..

6.4K records32 nodes496 edges2020

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.

6.4K records6.4K nodes217.7K edges2012

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.

2.2K records2.2K nodes91K edges2012

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.

18.4K records18.4K nodes973.9K edges2012

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.

12.8K records12.8K nodes679.8K edges2012

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.

11.5K records11.5K nodes487K edges2012

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.

22.9K records22.9K nodes852.4K edges2012

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.

10K records10K nodes362.9K edges2012

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.

2.3K records2.3K nodes84.4K edges2012

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.

3.9K records3.9K nodes137.6K edges2012

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.

8.6K records8.6K nodes384.5K edges2012

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.

19.7K records19.7K nodes637.5K edges2012

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.

3.8K records3.8K nodes158.9K edges2012

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.

11.2K records11.2K nodes351.4K edges2012

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.

769 records769 nodes16.7K edges2012

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.

6.6K records6.6K nodes250K edges2012

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.

3.5K records3.5K nodes155K edges2012

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.

11.8K records11.8K nodes444.3K edges2012

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.

18.7K records18.7K nodes790.8K edges2012

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.

7.7K records7.7K nodes304.1K edges2012

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.

9.9K records9.9K nodes506.4K edges2012

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.

7.5K records7.5K nodes330K edges2012

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.

27.7K records27.7K nodes1M edges2012

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.

9.4K records9.4K nodes425.6K edges2012

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.

12.2K records12.2K nodes469.5K edges2012

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.

2.3K records2.3K nodes96.4K edges2012

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.

15.1K records15.1K nodes824.6K edges2012

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.

1.4K records1.4K nodes59.6K edges2012

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.

4K records4K nodes204.8K edges2012

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.

29.7K records29.7K nodes1.3M edges2012

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.

14.1K records14.1K nodes485.6K edges2012

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.

5.2K records5.2K nodes186.6K edges2012

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.

5.1K records5.1K nodes198.3K edges2012

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.

9.1K records9.1K nodes243.2K edges2012

Facebook Maryland58 Network (FB100) Analyzed

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.

20.9K records20.9K nodes744.9K edges2012

Facebook Mich67 Network (FB100) Analyzed

A Facebook (Mich67, September 2005) dataset of 3,748 users and 81,903 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (27% male, 73% female), graduation year, major (79 unique), dorm (28 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0576, major homophily: 0.075.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

3.7K records3.7K nodes81.9K edges2012

Facebook Michigan23 Network (FB100) Analyzed

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.

30.1K records30.1K nodes1.2M edges2012

Facebook Middlebury45 Network (FB100) Analyzed

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.

3.1K records3.1K nodes124.6K edges2012

Facebook Mississippi66 Network (FB100) Analyzed

A Facebook (Mississippi66, September 2005) dataset of 10,521 users and 610,911 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (55 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: 0.1137, major homophily: 0.0403.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

10.5K records10.5K nodes610.9K edges2012

Facebook MIT8 Network (FB100) Analyzed

A Facebook (MIT8, September 2005) dataset of 6,440 users and 251,252 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (41% male, 59% female), graduation year, major (43 unique), dorm (63 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: 0.1255, major homophily: 0.0587.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

6.4K records6.4K nodes251.3K edges2012

Facebook MSU24 Network (FB100) Analyzed

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.

32.4K records32.4K nodes1.1M edges2012

Facebook MU78 Network (FB100) Analyzed

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.

15.4K records15.4K nodes649.4K edges2012

Facebook Northeastern19 Network (FB100) Analyzed

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.

13.9K records13.9K nodes381.9K edges2012

Facebook Northwestern25 Network (FB100) Analyzed

A Facebook (Northwestern25, September 2005) dataset of 10,567 users and 488,337 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (82 unique), dorm (76 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: 0.1046, major homophily: 0.0833.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

10.6K records10.6K nodes488.3K edges2012

Facebook Notre Dame57 Network (FB100) Analyzed

A Facebook (Notre Dame57, September 2005) dataset of 12,155 users and 541,339 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (54% male, 46% female), graduation year, major (120 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: 0.1332, major homophily: 0.0477.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

12.2K records12.2K nodes541.3K edges2012

Facebook NYU9 Network (FB100) Analyzed

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.

21.7K records21.7K nodes715.7K edges2012

Facebook Oberlin44 Network (FB100) Analyzed

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.

2.9K records2.9K nodes89.9K edges2012

Facebook Oklahoma97 Network (FB100) Analyzed

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.

17.4K records17.4K nodes892.5K edges2012

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.

50.5K records50.5K nodes819.3K edges2019

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.

14.1K records14.1K nodes52.3K edges2019