Jul 2026· International Conference on Computer, Information and Telecommunication Systems· pp. 1-8· 0 citations· 28 references
Computer Science
TL;DR
An optimized algorithm for computing cut sets of a path set is presented and a vectorized computational framework that expresses property calculations as matrix operations is introduced, enabling concise implementations in array-oriented languages.
Abstract
In graph theory and its applications to networking, such as telecommunications or transportation, path-finding is a central problem. While single-path algorithms are well established, methods for handling sets of multiple paths are less developed. A companion paper introduced a formal model for defining attributes over sets of paths based on their structural properties; this paper addresses that model's practical implementation. We present an optimized algorithm for computing cut sets of a path set—a nontrivial task that can be infeasible without efficient methods—and validate its performance via systematic benchmarks on network simulations of varying complexity. Additionally, we introduce a vectorized computational framework that expresses property calculations as matrix operations, enabling concise implementations in array-oriented languages. Together, these contributions establish practical foundations for the companion model, demonstrating that its implementation is both feasible and characterized by predictable, acceptable execution times.
This work considers the problem of finding, for a given degree sequence, the network structure displaying the smallest possible average shortest-path length and proposes a fast algorithm to construct approximate solutions to such a degree-constrained distance-minimization problem.
Centroids are used to compute an arbitrary number of simple paths with some important benefits: the expansion of a single centroid delivers an arbitrary number of paths; only a single Dijk-stra search is required to complete the task; the same algorithm can be easily coupled with heuristics that improve search efficien...
Carlos Linares López, I. Herman· Proceedings of the Thirty-Fi...· 0 citations
This paper presents a method for graph simplification that aims to improve routing efficiency in large-scale communication networks. The approach identifies rings—linear chains of degree-2 vertices decorated with pendant trees and attached to the rest of the network via two connection points. In the simplified represen...
Bikmetov Dmitry, Prihodko Maxim, Dun-Wei She et al.· 2026 IEEE/CIC International...· 0 citations
The study argues that the principal value of graph-theoretic optimization lies not only in identifying minimum-cost paths or maximum flows but also in representing structural dependencies that influence system-wide efficiency and resilience.
S. Anantharaman, V. Vishnupriya· Stanzaleaf International Jou...· 0 citations
It is proved that the problem of defining a bounded cost set of nodes S such that the influence spreading from S in G, within a given time bound, is as large as possible, and that the problem is NP-hard, even in simple networks like complete graphs and trees.
F. Cicalese, G. Cordasco, L. Gargano et al.· 0 citations
It is shown that for every fixed number of files, computing a latency-minimizing assignment is NP-hard via a reduction from the domatic number problem.
M. Pathegama, V. Cadambe· 0 citations
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