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题名: Inducing effect on the percolation transition in complex networks
作者: Zhao, JH ;  Zhou, HJ ;  Liu, YY
刊名: NATURE COMMUNICATIONS
出版日期: 2013
卷号: 4, 期号:-, 页码:2412
关键词: SCALE-FREE NETWORKS ;  RANDOM GRAPHS ;  INTERDEPENDENT NETWORKS ;  EXPLOSIVE PERCOLATION ;  MODEL ;  CASCADES ;  CORE ;  LOAD
学科分类: Physics
通讯作者: Zhou, HJ (reprint author), Chinese Acad Sci, Inst Theoret Phys, State Key Lab Theoret Phys, Zhong Guan Cun East Rd 55, Beijing 100190, Peoples R China.
部门归属: [Zhao, Jin-Hua; Zhou, Hai-Jun] Chinese Acad Sci, Inst Theoret Phys, State Key Lab Theoret Phys, Beijing 100190, Peoples R China; [Liu, Yang-Yu] Northeastern Univ, Ctr Complex Network Res & Dept Phys, Boston, MA 02115 USA; [Liu, Yang-Yu] Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA
英文摘要: Percolation theory concerns the emergence of connected clusters that percolate through a networked system. Previous studies ignored the effect that a node outside the percolating cluster may actively induce its inside neighbours to exit the percolating cluster. Here we study this inducing effect on the classical site percolation and K-core percolation, showing that the inducing effect always causes a discontinuous percolation transition. We precisely predict the percolation threshold and core size for uncorrelated random networks with arbitrary degree distributions. For low-dimensional lattices the percolation threshold fluctuates considerably over realizations, yet we can still predict the core size once the percolation occurs. The core sizes of real-world networks can also be well predicted using degree distribution as the only input. Our work therefore provides a theoretical framework for quantitatively understanding discontinuous breakdown phenomena in various complex systems.
资助者: National Basic Research Program of China [2013CB932804]; Knowledge Innovation Program of Chinese Academy of Sciences [KJCX2-EW-J02]; National Science Foundation of China [11121403, 11225526]; Network Science Collaborative Technology Alliance [W911NF-09-2-0053]; Defense Advanced Research Projects Agency [11645021]; Defense Threat Reduction Agency-WMD award [HDTRA1-08-1-0027, HDTRA1-10-1-0100]
收录类别: SCI
原文出处: 查看原文
语种: 英语
WOS记录号: WOS:000325533700009
Citation statistics: 
内容类型: 期刊论文
URI标识: http://ir.itp.ac.cn/handle/311006/15287
Appears in Collections:理论物理所2013年知识产出 _期刊论文

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Recommended Citation:
Zhao, JH,Zhou, HJ,Liu, YY. Inducing effect on the percolation transition in complex networks[J]. NATURE COMMUNICATIONS,2013,4(-):2412.
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