Before revision: The network characteristics and scaling exponents given by Barabási and Albert (1999), indicates the scale-free behavior: Size: 212 250 Average degree: 28.78 Cutoff for power-law scaling: 900 Clustering coefficient: 0.79 Therefore, the underlying network has the scale-free degree distribution p(k) ~ k−γactor, with an exponent γactor = 2.3 ± 0.1 (Barabási and Albert, 1999), (Albert and Barabási, 2000).
After revision: The network characteristics and scaling exponents given by Barabási and Albert (1999), indicates the scale-free behavior: Size: 212 250 Average degree: 28.78 Cutoff for power-law scaling: 900 Clustering coefficient: 0.79 The network fits a scale-free degree distribution p(k) ~ k−γactor, with an exponent γactor = 2.3 ± 0.1 (Barabási and Albert, 1999), (Albert and Barabási, 2000).