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On agglomeration-based rupture degree in networks and a heuristic algorithm Cover

On agglomeration-based rupture degree in networks and a heuristic algorithm

By: Muammer Ağtaş and  Tufan Turaci  
Open Access
|Aug 2023

Abstract

The rupture degree is one the most important vulnerability parameter in networks which are modelled by graphs. Let G(V (G),E (G)) be a simple undirected graph. The rupture degree is defined by r(G) = max{w(GS )–|S |m(GS ):S ⊂ V (G) and w(GS )>1} where m(GS ) is the order of a largest connected component in GS and w(GS ) is the number of components of GS, respectively. In this paper, we consider the vertex contraction method based on the network agglomeration operation for each vertex of G. Then, we have presented two graph vulnerability parameters called by agglomeration rupture degree and average lower agglomeration rupture degree. Furthermore, the exact values of them for some graph families are given. Finally, we proposed a polynomial time heuristic algorithm to obtain the values of agglomeration rupture degree and average

Language: English
Page range: 124 - 145
Submitted on: Apr 27, 2023
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Published on: Aug 8, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2023 Muammer Ağtaş, Tufan Turaci, published by Sapientia Hungarian University of Transylvania
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.