Figure 7
Robustness experiments of DoN and mDC on synthetic networks.The horizontal axis represents the proportion of nodes removed according to their influence. The L(p) of the ordinate represents the change of the network’s LCSS, and the NE(p) represents the change of network efficiency. The titles of the figures include “LFRnum”, where “num” signifies the number of nodes in the LFR synthetic network. \(\mu\) is the parameter of LFR algorithm. The smaller the \(\mu\), the more clear the community structure of the network. In Fig. 7, the faster the curve descends, the more influential attacked nodes are to the network topology and performance. (a) LFR500 μ = 0.1. (b) LFR500 μ = 0.1. (c) LFR500 μ = 0.8. (d) LFR500 μ = 0.8. (e) LFR1000 μ = 0.1. (f) LFR1000 μ = 0.1. (g) LFR1000 μ = 0.8. (h) LFR1000 μ = 0.8. (i) LFR5000 μ = 0.1. (j) LFR5000 μ = 0.1. (k) LFR5000 μ = 0.8. (l) LFR5000 μ = 0.8.
