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相关论文: Comparative Resilience Notions and Vertex Attack T…

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We have previously introduced vertex attack tolerance (VAT), denoted mathematically as $\tau(G) = \min_{S \subset V} \frac{|S|}{|V-S-C_{max}(V-S)|+1}$ where $C_{max}(V-S)$ is the largest connected component in $V-S$, as an appropriate…

离散数学 · 计算机科学 2014-09-09 Gunes Ercal

We have previously introduced vertex attack tolerance (VAT) and unsmoothened VAT (UVAT), denoted respectively as $\tau(G) = \min_{S \subset V} \frac{|S|}{|V-S-C_{max}(V-S)|+1}$ and $\hat{\tau}(G) = \min_{S \subset V}…

计算复杂性 · 计算机科学 2016-03-29 Gunes Ercal

Motivated by problems modeling the spread of infections in networks, in this paper we explore which bipartite graphs are most resilient to widespread infections under various parameter settings. Namely, we study bipartite networks with a…

数据结构与算法 · 计算机科学 2018-01-10 Shelby Heinecke , Will Perkins , Lev Reyzin

In varying degree distributions, we investigate the optimally robust networks against targeted attacks to nodes with higher degrees. In considering that a network tends to have more robustness with a smaller variance of degree…

物理与社会 · 物理学 2023-01-18 Masaki Chujyo , Yukio Hayashi , Takehisa Hasegawa

The robustness of a network is depending on the type of attack we are considering. In this paper we focus on the spread of viruses on networks. It is common practice to use the epidemic threshold as a measure for robustness. Because the…

离散数学 · 计算机科学 2008-12-11 Robert Kooij , Phillip Schumm , Caterina Scoglio

Many networks are characterized by highly heterogeneous distributions of links, which are called scale-free networks and the degree distributions follow $p(k)\sim ck^{-\alpha}$. We study the robustness of scale-free networks to random…

无序系统与神经网络 · 物理学 2009-11-11 Bing Wang , Huanwen Tang , Chonghui Guo , Zhilong Xiu

We study a new and stronger notion of fault-tolerant graph structures whose size bounds depend on the degree of the failing edge set, rather than the total number of faults. For a subset of faulty edges $F \subseteq G$, the faulty-degree…

数据结构与算法 · 计算机科学 2023-09-14 Greg Bodwin , Bernhard Haeupler , Merav Parter

As the scale of networked control systems increases and interactions between different subsystems become more sophisticated, questions of the resilience of such networks increase in importance. The need to redefine classical system and…

系统与控制 · 电气工程与系统科学 2022-05-26 Mohammad Pirani , Aritra Mitra , Shreyas Sundaram

The resiliency of a network is its ability to remain \emph{effectively} functioning also when any of its nodes or links fails. However, to reduce operational and set-up costs, a network should be small in size, and this conflicts with the…

数据结构与算法 · 计算机科学 2016-11-07 Davide Bilò , Luciano Gualà , Stefano Leucci , Guido Proietti

We propose the notion of {\it resistance of a graph} as an accompanying notion of the structure entropy to measure the force of the graph to resist cascading failure of strategic virus attacks. We show that for any connected network $G$,…

离散数学 · 计算机科学 2018-01-11 Angsheng Li , Yicheng Pan

A growing family of random graphs is called robust if it retains a giant component after percolation with arbitrary positive retention probability. We study robustness for graphs, in which new vertices are given a spatial position on the…

概率论 · 数学 2015-04-08 Emmanuel Jacob , Peter Morters

A graph $G$ is a \emph{max point-tolerance (MPT)} graph if each vertex $v$ of $G$ can be mapped to a \emph{pointed-interval} $(I_v, p_v)$ where $I_v$ is an interval of $\mathbb{R}$ and $p_v \in I_v$ such that $uv$ is an edge of $G$ iff $I_u…

Many real-world scale-free networks, such as neural networks and online communication networks, consist of a fixed number of nodes but exhibit dynamic edge fluctuations. However, traditional models frequently overlook scenarios where the…

社会与信息网络 · 计算机科学 2026-04-02 Yichao Yao , Minyu Feng , Matjaž Perc , Jürgen Kurths

The behavior of complex networks under failure or attack depends strongly on the specific scenario. Of special interest are scale-free networks, which are usually seen as robust under random failure but appear to be especially vulnerable to…

物理与社会 · 物理学 2010-07-06 B. Berche , C. von Ferber , T. Holovatch , Yu. Holovatch

We study a graph-theoretic property known as robustness, which plays a key role in certain classes of dynamics on networks (such as resilient consensus, contagion and bootstrap percolation). This property is stronger than other graph…

社会与信息网络 · 计算机科学 2015-03-20 Haotian Zhang , Elaheh Fata , Shreyas Sundaram

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 tolerance and topology of random scale-free networks under attack and defense strategies that depend on the degree k of the nodes. This situation occurs, for example, when the robustness of a node depends on its degree or in an…

无序系统与神经网络 · 物理学 2009-11-11 Lazaros K. Gallos , Reuven Cohen , Panos Argyrakis , Armin Bunde , Shlomo Havlin

The fault tolerance of random graphs with unbounded degrees with respect to connectivity is investigated, which relates to the reliability of wireless sensor networks with unreliable relay nodes. The model evaluates the network breakdown…

无序系统与神经网络 · 物理学 2019-06-05 Satoshi Takabe , Takafumi Nakano , Tadashi Wadayama

We study the detailed mechanism of the failure of scale-free networks under intentional attacks. Although it is generally accepted that such networks are very sensitive to targeted attacks, we show that for a particular type of structure…

物理与社会 · 物理学 2009-11-13 Lazaros K. Gallos , Panos Argyrakis

Let $H$ be an edge-weighted graph, and let $G$ be a subgraph of $H$. We say that $G$ is an $f$-fault-tolerant $t$-spanner for $H$, if the following is true for any subset $F$ of at most $f$ edges of $G$: For any two vertices $p$ and $q$,…

计算几何 · 计算机科学 2025-08-29 Ahmad Biniaz , Jean-Lou De Carufel , Anil Maheshwari , Michiel Smid
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