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相关论文: On distances in generalized Sierpinski graphs

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We define a (pseudo-)distance between graphs based on the spectrum of the normalized Laplacian, which is easy to compute or to estimate numerically. It can therefore serve as a rough classification of large empirical graphs into families…

谱理论 · 数学 2019-04-03 Jiao Gu , Jürgen Jost , Shiping Liu , Peter F. Stadler

Inspired by Lelek's idea from [Disjoint mappings and the span of spaces, Fund. Math. 55 (1964), 199 -- 214], we introduce the novel notion of the span of graphs. Using this, we solve the problem of determining the \emph{maximal safety…

组合数学 · 数学 2023-06-22 Iztok Banič , Andrej Taranenko

The generalized distance matrix of a graph is a matrix in which the $(i,j)$th entry is a function, $f$, of the distance between vertex $i$ and vertex $j$. Depending on the choice of $f$, this family of matrices includes both the adjacency…

组合数学 · 数学 2024-12-10 Ori Friesen , Cecily Kolko , Nick Layman , Kate Lorenzen , Sarah Zaske , Amy Zeigler

For a hereditary graph class $\mathcal{H}$, the $\mathcal{H}$-elimination distance of a graph $G$ is the minimum number of rounds needed to reduce $G$ to a member of $\mathcal{H}$ by removing one vertex from each connected component in each…

数据结构与算法 · 计算机科学 2021-06-09 Bart M. P. Jansen , Jari J. H. de Kroon

A graph is distance-hereditary if for any pair of vertices, their distance in every connected induced subgraph containing both vertices is the same as their distance in the original graph. The Distance-Hereditary Vertex Deletion problem…

数据结构与算法 · 计算机科学 2017-02-22 Eun Jung Kim , O-joung Kwon

Let $G$ be a large (simple, unlabeled) dense graph on $n$ vertices. Suppose that we only know, or can estimate, the empirical distribution of the number of subgraphs $F$ that each vertex in $G$ participates in, for some fixed small graph…

信息论 · 计算机科学 2023-08-08 Shahar Stein Ioushua , Ofer Shayevitz

We study the intersection of a random geometric graph with an Erd\H{o}s-R\'enyi graph. Specifically, we generate the random geometric graph $G(n, r)$ by choosing $n$ points uniformly at random from $D=[0, 1]^2$ and joining any two points…

组合数学 · 数学 2024-11-08 Patrick Bennett , Alan Frieze , Wesley Pegden

We introduce the concept of distance ideals of graphs, which can be regarded as a generalization of the Smith normal form and the spectra of the distance matrix of a graph. We obtain a classification of the graphs with at most one trivial…

组合数学 · 数学 2018-04-13 Carlos A. Alfaro , Libby Taylor

Rubei et. al., established results for the distance matrix of positive weighted Petersen graphs. Focusing on the properties of the distance matrix, we generalized positive weighted Petersen graphs results to Kneser graphs. We analyzed…

组合数学 · 数学 2019-02-05 Joshua Steier , Luis Monterroso

Let $G$ be a connected graph with $V(G)=\{v_1,\ldots,v_n\}$. The $(i,j)$-entry of the distance matrix $D(G)$ of $G$ is the distance between $v_i$ and $v_j$. In this article, using the well-known Ramsey's theorem, we prove that for each…

组合数学 · 数学 2022-03-07 Ezequiel Dratman , Luciano N. Grippo , Verónica Moyano , Adrián Pastine

This paper establishes sharp bounds for the vulnerability measures of closeness and generalized closeness in graphs and identifies graphs that attain these bounds. It further develops bounds incorporating Zagreb indices for triangle- and…

组合数学 · 数学 2025-06-02 Sanju Vaidya , Cheng Chang

For a connected graph $G$ of order at least $2$ and $S\subseteq V(G)$, the \emph{Steiner distance} $d_G(S)$ among the vertices of $S$ is the minimum size among all connected subgraphs whose vertex sets contain $S$. In this paper, we…

组合数学 · 数学 2017-08-22 Yaping Mao

We consider the random geometric graph on $n$ vertices drawn uniformly from a $d$--dimensional sphere. We focus on the sparse regime, when the expected degree is constant independent of $d$ and $n$. We show that, when $d$ is larger than $n$…

概率论 · 数学 2021-10-22 Elliot Paquette , Andrew Vander Werf

Compression and sparsification algorithms are frequently applied in a preprocessing step before analyzing or optimizing large networks/graphs. In this paper we propose and study a new framework contracting edges of a graph (merging vertices…

数据结构与算法 · 计算机科学 2019-02-14 Aaron Bernstein , Karl Däubel , Yann Disser , Max Klimm , Torsten Mütze , Frieder Smolny

In a graph, nodes can be characterized locally (with their degree $k$) or globally (e.g. with their average length path $\xi$ to other nodes). Here we investigate how $\xi$ depends on $k$. Our earlier algorithm of the construction of the…

统计力学 · 物理学 2007-05-23 K. Malarz , K. Kulakowski

The Straightness is a measure designed to characterize a pair of vertices in a spatial graph. It is defined as the ratio of the Euclidean distance to the graph distance between these vertices. It is often used as an average, for instance to…

离散数学 · 计算机科学 2023-05-12 Vincent Labatut

The strong vertex (edge) span of a given graph $G$ is the maximum distance that two players can maintain at all times while visiting all vertices (edges) of $G$ and moving either to an adjacent vertex or staying in the current position…

组合数学 · 数学 2024-12-11 Mateja Grašič , Chris Mouron , Andrej Taranenko

In distance query reconstruction, we wish to reconstruct the edge set of a hidden graph by asking as few distance queries as possible to an oracle. Given two vertices $u$ and $v$, the oracle returns the shortest path distance between $u$…

数据结构与算法 · 计算机科学 2024-10-17 Paul Bastide , Carla Groenland

In this paper, we investigate various algebraic and graph theoretic properties of the distance matrix of a graph. Two graphs are $D$-cospectral if their distance matrices have the same spectrum. We construct infinite pairs of $D$-cospectral…

The Fr\'echet distance is a popular distance measure between trajectories or curves in space, or between walks in graphs. We study computing the Fr\'echet distance between walks in the $d$-dimensional grid graphs, i.e. $\mathbb{Z}^d$ where…

计算几何 · 计算机科学 2026-05-18 Jacobus Conradi , Ivor van der Hoog , Frederikke Uldahl , Eva Rotenberg