Approximation of Interactive Betweenness Centrality in Large Complex Networks

Table 3

Overview of the real-world datasets.

Category	Range of nodes	Range of edges	Range of density	Range of maximum degree
Social networks	[889, 12645]	[2914, 49132]	[0.000615, 0.008053]	[102, 4800]
Biological networks	[453, 3343]	[1948, 6437]	[0.001139, 0.019780]	[37, 523]
Brain networks	[29, 1770]	[44, 16089]	[0.003157, 0.712596]	[31, 927]
Ecology networks	[97, 128]	[1446, 2075]	[0.25529, 0.310567]	[90, 110]
Economic networks	[257, 1258]	[2375, 7513]	[0.009502, 0.072197]	[106, 206]
Infrastructure networks	[332, 4941]	[2126, 15645]	[0.00054, 0.038693]	[19, 242]
Power networks	[494, 5300]	[586, 8271]	[0.000589, 0.004812]	[9, 17]
Road networks	[1039, 2640]	[1305, 3302]	[0.000948, 0.00242]	[5, 10]
Technological networks	[2113, 10680]	[6632, 24316]	[0.000426, 0.002972]	[109, 205]
Web networks	[643, 12305]	[2280, 47606]	[0.000258, 0.011046]	[59, 199]
Email networks	[143, 1133]	[[623, 5451]	[0.0085, 0.061361]	[42, 71]
Retweet networks	[2280, 9631]	[2464, 10314]	[0.000211, 0.000948]	[267, 7655]
Cheminformatics networks	[123, 125]	[139, 141]]	[0.018194, 0.018526]	[5]