Results 41 to 50 of about 4,385,040 (261)

Consensus Problem of Noisy Weighted Scale-free Small-world Networks [PDF]

open access: yesJisuanji gongcheng
This study investigates the consensus problem, a fundamental issue in distributed systems and network control. Consensus studies have traditionally focused on unweighted networks, overlooking the impact of edge weights in real-world networks.
DONG Yuze, ZHANG Zhongzhi
doaj   +1 more source

The Extremal Cacti on Multiplicative Degree-Kirchhoff Index

open access: yesMathematics, 2019
For a graph G, the resistance distance r G ( x , y ) is defined to be the effective resistance between vertices x and y, the multiplicative degree-Kirchhoff index R ∗ ( G ) = ∑ { x , y } ⊂ V ( G ) d G ( x ) d G
Fangguo He, Zhongxun Zhu
doaj   +1 more source

On the Normalized Laplacian Spectrum of the Linear Pentagonal Derivation Chain and Its Application

open access: yesAxioms, 2023
A novel distance function named resistance distance was introduced on the basis of electrical network theory. The resistance distance between any two vertices u and v in graph G is defined to be the effective resistance between them when unit resistors ...
Yuqing Zhang, Xiaoling Ma
doaj   +1 more source

The Kirchhoff Index of Hypercubes and Related Complex Networks

open access: yesDiscrete Dynamics in Nature and Society, 2013
The resistance distance between any two vertices of G is defined as the network effective resistance between them if each edge of G is replaced by a unit resistor.
Jiabao Liu   +3 more
doaj   +1 more source

The minimum Kirchhoff index of phenylene chains [PDF]

open access: yesDiscrete Applied Mathematics, 2022
Let $G$ be a connected graph. The resistance distance between any two vertices of $G$ is equal to the effective resistance between them in the corresponding electrical network constructed from $G$ by replacing each edge with a unit resistor.
Leilei Zhang
semanticscholar   +1 more source

Kirchhoff index of periodic linear chains [PDF]

open access: yesJournal of Mathematical Chemistry, 2015
A periodic linear chain consists of a weighted 2n -path where new edges have been added following a certain periodicity. In this paper, we obtain the effective resistance and the Kirchhoff index of a periodic linear chain as non trivial functions of the corresponding expressions for the path.
Carmona Mejías, Ángeles   +2 more
openaire   +3 more sources

Estimating Robustness Through Kirchhoff Index in Mesh Graphs

open access: yesIEEE Access, 2020
The Kirchhoff index is a new measure of network robustness. In this paper, we study the robustness of $n \times m$ mesh graphes (denoted by $M_{n\times m}$ ) by determining the most important edges and the least important edges. In other words, we aim
Yuming Peng, Jianyao Li, Weihua He
doaj   +1 more source

Kirchhoff Index As a Measure of Edge Centrality in Weighted Networks: Nearly Linear Time Algorithms

open access: yes, 2018
Most previous work of centralities focuses on metrics of vertex importance and methods for identifying powerful vertices, while related work for edges is much lesser, especially for weighted networks, due to the computational challenge. In this paper, we
Li, Huan, Zhang, Zhongzhi
core   +1 more source

Cyclic coverings of graphs. Counting rooted spanning forests and trees, Kirchhoff index, and Jacobians

open access: yesRussian Mathematical Surveys, 2023
The purpose of this survey is to describe invariants of cyclic coverings of graphs. The covered graph is assumed to be fixed, and the cyclic covering group has an arbitrarily large order. A classical example of such a covering is a circulant graph.
A. Mednykh, I. Mednykh
semanticscholar   +1 more source

Rafting of Ni‐Based Superalloys Under Multiaxial Load as Understood by Phase‐Field Simulations and Critical Experiments

open access: yesAdvanced Engineering Materials, EarlyView.
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan   +5 more
wiley   +1 more source

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