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相关论文: Distributed Strong Diameter Network Decomposition

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Finding sparse cuts is an important tool in analyzing large-scale distributed networks such as the Internet and Peer-to-Peer networks, as well as large-scale graphs such as the web graph, online social communities, and VLSI circuits. In…

分布式、并行与集群计算 · 计算机科学 2013-10-22 Atish Das Sarma , Anisur Rahaman Molla , Gopal Pandurangan

We describe a new sampling-based method to determine cuts in an undirected graph. For a graph (V, E), its cycle space is the family of all subsets of E that have even degree at each vertex. We prove that with high probability, sampling the…

分布式、并行与集群计算 · 计算机科学 2010-07-22 David Pritchard , Ramakrishna Thurimella

In the distributed triangle detection problem, we have an $n$-vertex network $G=(V,E)$ with one player for each vertex of the graph who sees the edges incident on the vertex. The players communicate in synchronous rounds using the edges of…

数据结构与算法 · 计算机科学 2025-08-14 Sepehr Assadi , Janani Sundaresan

Massive networks have shown that the determination of dense subgraphs, where vertices interact a lot, is necessary in order to visualize groups of common interest, and therefore be able to decompose a big graph into smaller structures. Many…

社会与信息网络 · 计算机科学 2016-04-29 Etienne Callies , Tomás Yany-Anich

In this paper, we study systems of distributed entities that can actively modify their communication network. This gives rise to distributed algorithms that apart from communication can also exploit network reconfiguration in order to carry…

分布式、并行与集群计算 · 计算机科学 2020-03-09 Othon Michail , George Skretas , Paul G. Spirakis

We study the detection and the reconstruction of a large very dense subgraph in a social graph with $n$ nodes and $m$ edges given as a stream of edges, when the graph follows a power law degree distribution, in the regime when $m=O(n. \log…

数据结构与算法 · 计算机科学 2023-06-22 Claire Mathieu , Michel de Rougemont

(Hyper)Graph decomposition is a family of problems that aim to break down large (hyper)graphs into smaller sub(hyper)graphs for easier analysis. The importance of this lies in its ability to enable efficient computation on large and complex…

数据结构与算法 · 计算机科学 2023-08-31 Marcelo Fonseca Faraj

Given a graph $G$, a subgraph $H$ is isometric if $d_H(u,v) = d_G(u,v)$ for every pair $u,v\in V(H)$, where $d$ is the distance function. A graph $G$ is distance preserving (dp) if it has an isometric subgraph of every possible order. A…

离散数学 · 计算机科学 2018-05-28 Emad Zahedi , Jason P. Smith

A $t$-{\em spanner} $H$ of a weighted graph $G=(V,E,w)$ is a subgraph that approximates all pairwise distances up to a factor of $t$. The {\em lightness} of $H$ is defined as the ratio between the weight of $H$ to that of the minimum…

数据结构与算法 · 计算机科学 2019-05-08 Michael Elkin , Arnold Filtser , Ofer Neiman

Strong product is an efficient way to construct a larger digraph through some specific small digraphs. The large digraph constructed by the strong product method contains the factor digraphs as its subgraphs, and can retain some good…

离散数学 · 计算机科学 2019-01-23 Haoran Yin , Feng Li

Let $G=(V,E)$ be a simple graph with $|V|=n$ nodes and $|E|=m$ links, a subset $K \subseteq V$ of \emph{terminals}, a vector $p=(p_1,\ldots,p_m) \in [0,1]^m$ and a positive integer $d$, called \emph{diameter}. We assume nodes are perfect…

计算复杂性 · 计算机科学 2014-04-15 Eduardo Canale , Pablo Romero

Expander decompositions form the basis of one of the most flexible paradigms for close-to-linear-time graph algorithms. Length-constrained expander decompositions generalize this paradigm to better work for problems with lengths, distances…

数据结构与算法 · 计算机科学 2024-05-16 Bernhard Haeupler , D Ellis Hershkowitz , Zihan Tan

Let $D=(V,A)$ be a digraph and $\mathfrak{S}$ a partition of $V(D)$. We say that $\mathfrak{S}$ is a strong in-domatic partition if every $S$ in $\mathfrak{S}$ holds that every vertex not in $S$ has at least one out-neighbor in $S$, that is…

The densest subgraph problem, introduced in the 80s by Picard and Queyranne as well as Goldberg, is a classic problem in combinatorial optimization with a wide range of applications. The lowest outdegree orientation problem is known to be…

数据结构与算法 · 计算机科学 2022-09-13 Hsin-Hao Su , Hoa T. Vu

A prominent parameter in the context of network analysis, originally proposed by Watts and Strogatz (Collective dynamics of `small-world' networks, Nature 393 (1998) 440-442), is the clustering coefficient of a graph $G$. It is defined as…

组合数学 · 数学 2016-11-21 Michael Gentner , Irene Heinrich , Simon Jäger , Dieter Rautenbach

In the Dominated Cluster Deletion problem, we are given an undirected graph $G$ and integers $k$ and $d$ and the question is to decide whether there exists a set of at most $k$ vertices whose removal results in a graph in which each…

离散数学 · 计算机科学 2025-08-20 Nicole Schirrmacher , Sebastian Siebertz , Alexandre Vigny

Vertical decomposition is a widely used general technique for decomposing the cells of arrangements of semi-algebraic sets in $d$-space into constant-complexity subcells. In this paper, we settle in the affirmative a few long-standing open…

计算几何 · 计算机科学 2023-11-06 Pankaj K. Agarwal , Esther Ezra , Micha Sharir

Minimum-weight cut (min-cut) is a basic measure of a network's connectivity strength. While the min-cut can be computed efficiently in the sequential setting [Karger STOC'96], there was no efficient way for a distributed network to compute…

数据结构与算法 · 计算机科学 2020-11-17 Michal Dory , Yuval Efron , Sagnik Mukhopadhyay , Danupon Nanongkai

The decomposition of a linkage into minimal components is a central tool of analysis and synthesis of linkages. In this paper we prove that every pinned d-isostatic (minimally rigid) graph (grounded linkage) has a unique decomposition into…

组合数学 · 数学 2015-03-17 Offer Shai , Adnan Sljoka , Walter Whiteley

A $(d,h)$-decomposition of a graph $G$ is an ordered pair $(D, H)$ such that $H$ is a subgraph of $G$ of maximum degree at most $h$ and $D$ is an acyclic orientation of $G-E(H)$ with maximum out-degree at most $d$. In this paper, we prove…

组合数学 · 数学 2023-03-16 Lingxi Li , Huajing Lu , Tao Wang , Xuding Zhu