Considering how the scaling regimes characterizing the nonlinear Barabási-Albert model. Analyze the following statements, for a starting network with 1 node:
I. Approximately 2980 nodes need to be added to the network, to achieve kₘₐₓ = 64, in case of a = 0,5.
II. Approximately 100 nodes need to be added to the network, to achieve kₘₐₓ = 10, in case of a = 1,5.
III. Approximately 250000 nodes need to be added to the network, to achieve kₘₐₓ = 500, in case of a = 1.
IV. Approximately 800 nodes need to be added to the network, to achieve kₘₐₓ = 800, in case of a = 0,5.
A. I and III are correct.
B. I, II, and III are correct.
C. II and IV are correct.
B. I, II, and III are correct.
C. II and IV are correct.
D. II, III and IV are correct.
E. None of the above.
Original idea by: Karla Florentino
E. None of the above.
Nice question, but, although the Barabasi-Albert model is well-known in the area, its nonlinear version may not be that popular. Therefore, it would be good to explain the main assumptions behind it.
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