Which of the following correctly describes the effect of dynamic processes on the degree distribution of a real network?
A) The degree distribution in real networks always follows a pure power law.
B) Networks with fitness induce logarithmic corrections to the degree distribution.
C) Node removal has no impact on the degree distribution of real networks.
D) Evolving networks are generated randomly, without depending on dynamic processes.
E) None of the above.
C) Node removal has no impact on the degree distribution of real networks.
D) Evolving networks are generated randomly, without depending on dynamic processes.
E) None of the above.
Original idea by: Gustavo Henrique Sencio de Souza
Nice question. However, it needs some clarification. For instance, in alternative (B), it is not clear what a network with fitness is. Assuming it is a net work that follows the Bianconi-Barabasi model, which involves fitness, the answer depends on the fitness probability distribution. It may also be an additive fitness, mentioned in one of the exercises. In (C), it is not clear what kind of node removal we are talking about. In (A) and (D) there are ambiguities also, but the statements are clearly false, because the conclusion is very strong ('always' follows a pure power law, etc.)
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