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In the case of μ=2000 and σ=400, most channel lengths are less than K, so lower degrees nodes (degree-one or degree-two) in Ω LC dominate greater than 90%.
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Nodes of small degrees k < kcr obey the γ = 3/4 part of the distribution, while high-degree nodes, k > kcr, lie in its γ = 2 regime.
If multiple nodes have the largest degree, we break the tie by selecting one of the largest-degree nodes at random.
Second, CbCI(i) is large if I has many high-degree nodes at distance in the coarse-grained network (i.e., sum of ).
Furthermore, we find that assigning less resource to middle-degree nodes under small-scale attack while more resource to low-degree nodes under large-scale attack is conductive to improving the network robustness.
We focus on the optimization of network robustness with respect to intentional attacks on high-degree nodes.
A new modular architecture based on the wavelength selective switches is proposed for implementations applicable to large degree nodes.
DARA prefers to choose the least degree nodes.
That is, in a assortative network, high degree nodes tend to connect with other high degree nodes, whereas in a disassortative network, high degree nodes tend to be connected to low degree nodes.
Lesser degree nodes having more common neighbors are preferred.
In 2003 and 2012, the tendency is to have high degree nodes connected to low degree nodes (descending curves).
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