• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

具有代数偏好依附的增长网络的统计特性与抗攻击性

Statistical properties and attack tolerance of growing networks with algebraic preferential attachment.

作者信息

Liu Zonghua, Lai Ying-Cheng, Ye Nong

机构信息

Department of Mathematics, Center for Systems Science and Engineering Research, Arizona State University, Tempe 85287, USA.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Sep;66(3 Pt 2A):036112. doi: 10.1103/PhysRevE.66.036112. Epub 2002 Sep 16.

DOI:10.1103/PhysRevE.66.036112
PMID:12366189
Abstract

We consider growing networks with algebraic preferential attachment and address two questions: (1) what is the effect of temporal fluctuations in the number of new links acquired by the network? and (2) what is the network tolerance against random failures and intentional attacks? We find that the fluctuations generally have little effect on the network properties, although they lead to a plateau behavior for small degrees in the connectivity distribution. Formulas are derived for the evolution and distribution of the network connectivity, which are tested by numerical simulations. Numerical study of the effect of failures and attacks suggests that networks constructed under algebraic preferential attachment are more robust than scale-free networks.

摘要

我们考虑具有代数优先连接的增长网络,并解决两个问题:(1)网络获取的新链接数量的时间波动有什么影响?(2)网络对随机故障和蓄意攻击的容忍度如何?我们发现,尽管波动会导致连通性分布中低度数出现平台行为,但通常对网络属性影响不大。推导了网络连通性的演化和分布公式,并通过数值模拟进行了检验。对故障和攻击影响的数值研究表明,在代数优先连接下构建的网络比无标度网络更健壮。

相似文献

1
Statistical properties and attack tolerance of growing networks with algebraic preferential attachment.具有代数偏好依附的增长网络的统计特性与抗攻击性
Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Sep;66(3 Pt 2A):036112. doi: 10.1103/PhysRevE.66.036112. Epub 2002 Sep 16.
2
Scale-free networks as preasymptotic regimes of superlinear preferential attachment.作为超线性偏好依附的前渐近状态的无标度网络。
Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Aug;78(2 Pt 2):026114. doi: 10.1103/PhysRevE.78.026114. Epub 2008 Aug 21.
3
Scaling properties of scale-free evolving networks: continuous approach.无标度演化网络的标度性质:连续方法
Phys Rev E Stat Nonlin Soft Matter Phys. 2001 May;63(5 Pt 2):056125. doi: 10.1103/PhysRevE.63.056125. Epub 2001 Apr 26.
4
Two-peak and three-peak optimal complex networks.双峰和三峰最优复杂网络。
Phys Rev Lett. 2004 Mar 19;92(11):118702. doi: 10.1103/PhysRevLett.92.118702.
5
Effects of random noise on a simple class of growing network models.
Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Aug;68(2 Pt 2):026110. doi: 10.1103/PhysRevE.68.026110. Epub 2003 Aug 13.
6
How breadth of degree distribution influences network robustness: comparing localized and random attacks.度分布广度如何影响网络鲁棒性:比较局部攻击和随机攻击。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Sep;92(3):032122. doi: 10.1103/PhysRevE.92.032122. Epub 2015 Sep 16.
7
Failure tolerance of spike phase synchronization in coupled neural networks. Spike 相位同步的耦合神经网络容错性。
Chaos. 2011 Sep;21(3):033126. doi: 10.1063/1.3633079.
8
Error and attack vulnerability of temporal networks.时态网络的误差与攻击脆弱性
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jun;85(6 Pt 2):066105. doi: 10.1103/PhysRevE.85.066105. Epub 2012 Jun 6.
9
Robust-yet-fragile nature of interdependent networks.相互依存网络强大却脆弱的本质。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 May;91(5):052809. doi: 10.1103/PhysRevE.91.052809. Epub 2015 May 18.
10
Unifying evolutionary and network dynamics.统一进化动力学与网络动力学。
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Jun;75(6 Pt 2):066114. doi: 10.1103/PhysRevE.75.066114. Epub 2007 Jun 28.

引用本文的文献

1
Epidemic spreading in complex networks.复杂网络中的疫情传播。
Front Phys China. 2008;3(3):331-348. doi: 10.1007/s11467-008-0027-x. Epub 2008 Jul 8.
2
The major transitions of life from a network perspective.从网络视角看生命的主要转变。
Front Physiol. 2012 Apr 10;3:94. doi: 10.3389/fphys.2012.00094. eCollection 2012.
3
Inherent size constraints on prokaryote gene networks due to "accelerating" growth.由于“加速”生长对原核生物基因网络产生的内在尺寸限制。
Theory Biosci. 2005 Apr;123(4):381-411. doi: 10.1016/j.thbio.2005.02.002.