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Modern world builds on the resilience of interdependent infrastructures characterized as complex networks. Recently, a framework for analysis of interdependent networks has been developed to explain the mechanism of resilience in…

物理与社会 · 物理学 2015-06-16 Peng Zhang , Baisong Cheng , Zhuang Zhao , Daqing Li , Guangquan Lu , Yunpeng Wang , Jinghua Xiao

Networks with a given degree distribution may be very resilient to one type of failure or attack but not to another. The goal of this work is to determine network design guidelines which maximize the robustness of networks to both random…

其他凝聚态物理 · 物理学 2009-11-10 G. Paul , T. Tanizawa , S. Havlin , H. E. Stanley

We study the tolerance to congestion failures in communication networks with scale-free topology. The traffic load carried by each damaged element in the network must be partly or totally redistributed among the remaining elements.…

统计力学 · 物理学 2009-11-07 Y. Moreno , R. Pastor-Satorras , A. Vazquez , A. Vespignani

Multilayer networked systems are ubiquitous in nature and engineering, and the robustness of these systems against failures is of great interest. A main line of theoretical pursuit has been percolation induced cascading failures, where…

社会与信息网络 · 计算机科学 2019-11-27 Run-Ran Liu , Chun-Xiao Jia , Ying-Cheng Lai

Many complex systems, such as communication networks, display a surprising degree of robustness: while key components regularly malfunction, local failures rarely lead to the loss of the global information-carrying ability of the network.…

无序系统与神经网络 · 物理学 2009-10-31 Reka Albert , Hawoong Jeong , Albert-Laszlo Barabasi

Cascading failures constitute an important vulnerability of interconnected systems. Here we focus on the study of such failures on networks in which the connectivity of nodes is constrained by geographical distance. Specifically, we use…

物理与社会 · 物理学 2014-01-08 Andrea Asztalos , Sameet Sreenivasan , Boleslaw K. Szymanski , Gyorgy Korniss

We consider a cyber-physical system consisting of two interacting networks, i.e., a cyber-network overlaying a physical-network. It is envisioned that these systems are more vulnerable to attacks since node failures in one network may…

数据分析、统计与概率 · 物理学 2012-08-06 Osman Yagan , Dajun Qian , Junshan Zhang , Douglas Cochran

Networks in nature rarely function in isolation but instead interact with one another with a form of a network of networks (NoN). A network of networks with interdependency between distinct networks contains instability of abrupt collapse…

物理与社会 · 物理学 2018-04-20 Byungjoon Min , Muhua Zheng

Two stochastic models are proposed to generate a system composed of two interdependent scale-free (SF) or Erd\H{o}s-R\'{e}nyi (ER) networks where interdependent nodes are connected with exponential or power-law relation, as well as…

物理与社会 · 物理学 2015-06-18 J. Jiang , W. Li , X. Cai

Generally, networks are classified into two sides of inequality and equality with respect to the number of links at nodes by the types of degree distributions. One side includes many social, technological, and biological networks which…

物理与社会 · 物理学 2025-10-01 Yukio Hayashi , Taishi Ogawa

In this paper, we study the robustness of interdependent networks, in which the state of one network depends on the state of the other network and vice versa. In particular, we focus on the interdependency between the power grid and…

最优化与控制 · 数学 2014-07-11 Marzieh Parandehgheibi , Eytan Modiano

The dynamics of cascading failures in spatial interdependent networks significantly depend on the interaction range of dependency couplings between layers. In particular, for increasing range of dependency couplings, different types of…

物理与社会 · 物理学 2023-07-07 Bnaya Gross , Ivan Bonamassa , Shlomo Havlin

Much work has been devoted to studying percolation of networks and interdependent networks under varying levels of failures. Researchers have considered many different realistic network structures, but thus far no study has incorporated the…

物理与社会 · 物理学 2018-11-21 Louis M. Shekhtman , Shlomo Havlin

Two node variables determine the evolution of cascades in random networks: a node's degree and threshold. Correlations between both fundamentally change the robustness of a network, yet, they are disregarded in standard analytic methods as…

适应与自组织系统 · 物理学 2018-08-15 Rebekka Burkholz , Frank Schweitzer

Natural and technological interdependent systems have been shown to be highly vulnerable due to cascading failures and an abrupt collapse of global connectivity under initial failure. Mitigating the risk by partial disconnection endangers…

Modern urban resilience is threatened by cascading failures in multimodal transport networks, where localized shocks trigger widespread paralysis. Existing models, limited by their focus on pairwise interactions, often underestimate this…

社会与信息网络 · 计算机科学 2025-09-18 Jinghua Song , Yuan Wang , Zimo Yan

Large cascades are a common occurrence in many natural and engineered complex systems. In this paper we explore the propagation of cascades across networks using realistic network topologies, such as heterogeneous degree distributions, as…

适应与自组织系统 · 物理学 2019-04-03 Malgorzata Turalska , Keith Burghardt , Martin Rohden , Ananthram Swami , Raissa M. D'Souza

A central issue in complex networks is tolerance to random failures and intentional attacks. Current literature emphasizes the dichotomy between networks with a power-law node connectivity distribution, which are robust to random failures…

统计力学 · 物理学 2009-11-10 Andre X. C. N. Valente , Abhijit Sarkar , Howard A. Stone

The 2008 financial crisis illustrated the need for a thorough, functional understanding of systemic risk in strongly interconnected financial structures. Dynamic processes on complex networks being intrinsically difficult, most recent…

综合金融 · 定量金融 2015-08-05 Matteo Smerlak , Brady Stoll , Agam Gupta , James S. Magdanz

Robustness of network of networks (NON) has been studied only for dependency coupling (J.X. Gao et. al., Nature Physics, 2012) and only for connectivity coupling (E.A. Leicht and R.M. D Souza, arxiv:0907.0894). The case of network of n…

物理与社会 · 物理学 2013-10-22 Gaogao Dong , Lixin Tian , Ruijin Du , H. Eugene Stanley