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题名: Identifying optimal targets of network attack by belief propagation
作者: Mugisha, S;  Zhou, HJ
刊名: PHYSICAL REVIEW E
出版日期: 2016
卷号: 94, 期号:1, 页码:12305
学科分类: Physics
DOI: http://dx.doi.org/10.1103/PhysRevE.94.012305
通讯作者: Zhou, HJ (reprint author), Chinese Acad Sci, Inst Theoret Phys, Key Lab Theoret Phys, Zhong Guan Cun East Rd 55, Beijing 100190, Peoples R China.
文章类型: Article
合作性质: 其它
英文摘要: For a network formed by nodes and undirected links between pairs of nodes, the network optimal attack problem aims at deleting a minimum number of target nodes to break the network down into many small components. This problem is intrinsically related to the feedback vertex set problem that was successfully tackled by spin-glass theory and an associated belief propagation-guided decimation (BPD) algorithm [Zhou, Eur. Phys. J. B 86, 455 (2013)]. In the present work we apply the BPD algorithm (which has approximately linear time complexity) to the network optimal attack problem and demonstrate that it has much better performance than a recently proposed collective information algorithm [Morone and Makse, Nature 524, 65 (2015)] for different types of random networks and real-world network instances. The BPD-guided attack scheme often induces an abrupt collapse of the whole network, which may make it very difficult to defend.
类目[WOS]: Physics, Fluids & Plasmas ;  Physics, Mathematical
关键词[WOS]: RANDOM REGULAR GRAPHS ;  SCALE-FREE NETWORKS ;  VERTEX SET PROBLEM ;  COMPLEX NETWORKS ;  EXPLOSIVE PERCOLATION
收录类别: SCI
项目资助者: National Basic Research Program of China [2013CB932804] ;  National Natural Science Foundation of China [11121403, 11225526] ;  Knowledge Innovation Program of Chinese Academy of Sciences [KJCX2-EW-J02] ;  CAS-TWAS president fellowship
语种: 英语
WOS记录号: WOS:000379511600008
Citation statistics: 
内容类型: 期刊论文
URI标识: http://ir.itp.ac.cn/handle/311006/21263
Appears in Collections:理论物理所计算集群成果_计算集群论文-未标明致谢

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Recommended Citation:
Mugisha, S,Zhou, HJ. Identifying optimal targets of network attack by belief propagation[J]. PHYSICAL REVIEW E,2016,94(1):12305.
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