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• W3204916163 abstract "The interdependent network is particularly vulnerable to attacks on high degree nodes; therefore, the improvement of its robustness under intentional attacks has become an important topic. In this paper, we put forward a new metric to quantify the robustness of interdependent networks against intentional attacks and develop an improved simulated annealing algorithm (ISAA) to maximize this metric by optimizing the allocation of intra-links in subnetworks. Based on the comparison between the ISAA and existing algorithms, it is found that the algorithm presented in this paper is more effective to enhance the robustness of an interdependent scale-free network (ISFN). By applying the ISAA to ISFNs with different coupling preferences, there is a key finding that the robustness of the optimized ISFN is significantly stronger than that of the original ISFN. In particular, for cases of disassortative and random couplings, no sudden collapse occurs in optimized ISFNs. According to the analysis of the degree and the clustering coefficient, we find that the subnetwork of the optimized ISFN exhibits an onion-like structure. In addition, the ISFN whose robustness is enhanced to resist the attacks on high degree nodes is still robust to the intentional attacks concerning the betweenness and PageRank." @default.
• W3204916163 created "2021-10-11" @default.
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• W3204916163 date "2021-09-01" @default.
• W3204916163 modified "2023-10-16" @default.
• W3204916163 title "Improving robustness in interdependent networks under intentional attacks by optimizing intra-link allocation" @default.
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• W3204916163 doi "https://doi.org/10.1063/5.0054070" @default.
• W3204916163 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34598464" @default.
• W3204916163 hasPublicationYear "2021" @default.
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