Constructing Provably Robust Scale-Free Networks

被引:2
作者
Hasheminezhad, Rouzbeh [1 ]
Brandes, Ulrik [1 ]
机构
[1] Swiss Fed Inst Technol, Social Networks Lab, Zurich, Switzerland
来源
NETWORK SCIENCE (NETSCI-X 2022) | 2022年 / 13197卷
关键词
graph generators; robustness; degree sequences; GRAPHS;
D O I
10.1007/978-3-030-97240-0_10
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Scale-free networks have been described as robust to random failures but vulnerable to targeted attacks. We show that their degree sequences admit realizations that are, in fact, provably robust against any vertex removal strategy. We propose an algorithm that constructs such realizations almost surely, requiring only linear time and space. Our experiments confirm the robustness of the networks generated by this algorithm against adaptive and non-adaptive vertex removal strategies.
引用
收藏
页码:126 / 139
页数:14
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