Scale-free Networks question
Consider a network with \( N = 10^4\) nodes. If the degree distribution \(p_k\) follows the power law \(p_k \sim k^{\gamma}\), with degree exponent \(\gamma = 3\) and a minimum degree \(k_{\text{min}} = 2\), which the following statements are true?
I. The expected size of the largest hub is \(k_{\text{max}} = 200\).
II. The first moment \(\langle k \rangle\) diverges, meaning the network has no scale.
III. Doubling the number of nodes to \(N = 2 \times 10^4\) would double the expected size of the largest hub to \(k_{\text{max}} = 400\).
IV. The second moment \(\langle k^2 \rangle\) diverges, meaning the network has no characteristic flutuation.
a) I, II and IV
b) I and IV
c) Only I
d) II and III
e) None of the above.
Original idea by: Carlos Trindade
Good question, but I am afraid the statements about and diverging may lead to misunderstandings and dispute. On one hand, obviously for a fixed network the moments do not diverge. On the other hand, some people may argue that for this value of gamma we have divergence when N grows. I prefer to avoid the risk.
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