Volume: 19 Issue-01 (January-June) 2024

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FOR OPTIMIZING NETWORK RESILIENCE THROUGH ADVANCED GRAPH THEORY ALGORITHMS

ABSTRACT

This study researches the application of Advanced Graph Theory algorithms to further develop network resilience. Algorithms such as centralized analysis, community detection, dynamic routing, and load balancing are investigated through the analysis of real and synthetic data. Computing tools such as network simulation software and strong computing resources work with algorithm implementation and productivity. The outcomes show the adequacy of these algorithms in recognizing basic network elements, optimizing street courses, and lessening congestion. The study adds to a more profound comprehension of network resilience and gives significant bits of knowledge into the design and management of strong and versatile networks across industries.

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