General Community Detection in Attributed Networks with Consistent-Module Constrained Nonnegative Matrix Factorization

Table 2

Details of the real-world network datasets utilized in the experiments, where , , , and are the number of nodes, edges, attributes, and communities, respectively, where ‘AVD’, ‘CC’, and ‘ASC’ represent the average degree, clustering coefficient, and assortative coefficient.

Networks					‘AVD’	‘CC’	‘ASC’
Cora	2708	5429	1433	7	3.89	0.241	-0.065
Citeseer	3312	4732	3703	6	2.73	0.142	0.047
Cornell	195	304	1703	5	2.90	0.157	-0.241
Texas	187	328	1703	5	3.09	0.303	-0.250
Wisconsin	265	530	1703	5	3.18	0.278	-0.179
Washington	230	446	1703	5	3.54	0.197	-0.223