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Let $G$ be a finite connected simple graph with a chosen orientation of its edges. For the edge potential $\psi(t)=\cosh t-1,$ we minimize $\sum_{e\in E^\to}\psi(z_e)$ over each affine class $\omega+dC^0(G)\subset C^1(G)$. The minimizer is…

组合数学 · 数学 2026-04-21 Sebastian Pardo-Guerra , Anil Thapa , Jonathan Washburn

Analysis of a network in terms of vulnerability is one of the most significant problems. Graph theory serves as a valuable tool for solving complex network problems, and there exist numerous graph-theoretic parameters to analyze the…

离散数学 · 计算机科学 2026-04-08 Hande Tuncel Golpek , Aysun Aytac

The study of the topological structure of complex networks has fascinated researchers for several decades, and today we have a fairly good understanding of the types and reoccurring characteristics of many different complex networks.…

社会与信息网络 · 计算机科学 2014-06-23 Matthieu Roy , Stefan Schmid , Gilles Trédan

Given a graph $G=(V, E)$, the problem of Graph Burning is to find a sequence of nodes from $V$, called a burning sequence, to burn the whole graph. This is a discrete-step process, and at each step, an unburned vertex is selected as an…

数据结构与算法 · 计算机科学 2023-07-18 Rahul Kumar Gautam , Anjeneya Swami Kare , S. Durga Bhavani

The vertex PI index $PI(G) = \sum_{xy \in E(G)} [n_{xy}(x) + n_{xy}(y)]$ is a distance-based molecular structure descriptor, where $n_{xy}(x)$ denotes the number of vertices which are closer to the vertex $x$ than to the vertex $y$ and…

组合数学 · 数学 2016-03-02 Chunxiang Wang , Shaohui Wang , Bing Wei

A cactus graph is a graph in which any two cycles are edge-disjoint. We present a constructive proof of the fact that any plane graph $G$ contains a cactus subgraph $C$ where $C$ contains at least a $\frac{1}{6}$ fraction of the triangular…

离散数学 · 计算机科学 2019-03-18 Parinya Chalermsook , Andreas Schmid , Sumedha Uniyal

Let $A(G)$ be the adjacent matrix and $D(G)$ the diagonal matrix of the degrees of a graph $G$, respectively. For $0 \leq \alpha \leq 1$, the $A_{\alpha}$ matrix $A_{\alpha}(G) = \alpha D(G) +(1-\alpha)A(G)$ is given by Nikiforov. Clearly,…

组合数学 · 数学 2018-09-21 Shaohui Wang , Chunxiang Wang , Jia-Bao Liu , Bing Wei

Link residual closeness is a newly proposed measure for network vulnerability. In this model, vertices are perfectly reliable and the links fail independently of each other. It measures the vulnerability even when the removal of links does…

社会与信息网络 · 计算机科学 2023-11-07 Leyou Xu , Chengli Li , Bo Zhou

For a collection $\mathcal{F}$ of graphs, the $\mathcal{F}$-\textsc{Contraction} problem takes a graph $G$ and an integer $k$ as input and decides if $G$ can be modified to some graph in $\mathcal{F}$ using at most $k$ edge contractions.…

数据结构与算法 · 计算机科学 2025-05-21 R. Krithika , Pranabendu Misra , Prafullkumar Tale

We initiate the algorithmic study of retracting a graph into a cycle in the graph, which seeks a mapping of the graph vertices to the cycle vertices, so as to minimize the maximum stretch of any edge, subject to the constraint that the…

数据结构与算法 · 计算机科学 2019-04-29 Samuel Haney , Mehraneh Liaee , Bruce M. Maggs , Debmalya Panigrahi , Rajmohan Rajaraman , Ravi Sundaram

A vertex whose removal in a graph $G$ increases the number of components of $G$ is called a cut vertex. For all $n,c$, we determine the maximum number of connected induced subgraphs in a connected graph with order $n$ and $c$ cut vertices,…

组合数学 · 数学 2019-10-11 Audace A. V. Dossou-Olory

The degree centrality of a node, defined as the number of nodes adjacent to it, is often used as a measure of importance of a node to the structure of a network. This metric can be extended to paths in a network, where the degree centrality…

数据结构与算法 · 计算机科学 2025-12-19 Johnson Phosavanh , Dmytro Matsypura

Consider a setting where possibly sensitive information sent over a path in a network is visible to every {neighbor} of the path, i.e., every neighbor of some node on the path, thus including the nodes on the path itself. The exposure of a…

数据结构与算法 · 计算机科学 2012-12-27 Shiri Chechik , M. P. Johnson , Merav Parter , David Peleg

The connectivity of a graph is an important parameter to evaluate its reliability. $k$-restricted connectivity (resp. $R^h$-restricted connectivity) of a graph $G$ is the minimum cardinality of a set $S$ of vertices in $G$, if exists, whose…

计算复杂性 · 计算机科学 2026-01-15 Huazhong Lü , Tingzeng Wu

Complex systems of interacting components often can be modeled by a simple graph $\mathcal{G}$ that consists of a set of $n$ nodes and a set of $m$ edges. Such a graph can be represented by an adjacency matrix $A\in\R^{n\times n}$, whose…

物理与社会 · 物理学 2025-09-17 Silvia Noschese , Lothar Reichel

We study the two-center problem on cactus graphs in facility locations, which aims to place two facilities on the graph network to serve customers in order to minimize the maximum transportation cost. In our problem, the location of each…

数据结构与算法 · 计算机科学 2025-01-22 Haitao Xu , Jingru Zhang

Network or graph structures are ubiquitous in the study of complex systems. Often, we are interested in complexity trends of these system as it evolves under some dynamic. An example might be looking at the complexity of a food web as…

信息论 · 计算机科学 2012-01-23 Russell K. Standish

The \emph{Wiener index} is one of the most widely studied parameters in chemical graph theory. It is defined as the sum of the lengths of the shortest paths between all unordered pairs of vertices in a given graph. In 1991, \v{S}olt\'es…

组合数学 · 数学 2023-12-12 Jan Bok , Nikola Jedličková , Jana Maxová

The vertex (resp. edge) metric dimension of a connected graph G; denoted by dim(G) (resp. edim(G)), is defined as the size of a smallest set S in V (G) which distinguishes all pairs of vertices (resp. edges) in G: Bounds dim(G) <=…

组合数学 · 数学 2021-08-24 Jelena Sedlar , Riste Škrekovski

We propose a new distribution-free model of social networks. Our definitions are motivated by one of the most universal signatures of social networks, triadic closure---the property that pairs of vertices with common neighbors tend to be…

组合数学 · 数学 2018-04-26 Jacob Fox , Tim Roughgarden , C. Seshadhri , Fan Wei , Nicole Wein