Critical Node

Identifying critical nodes—nodes whose removal severely disrupts network function—is a crucial problem across diverse fields, from cybersecurity to disease control. Current research focuses on developing efficient algorithms, including those leveraging genetic algorithms, neural networks, and large language models, to identify these nodes in complex networks, often addressing the computational challenges posed by the NP-hard nature of the problem. These advancements improve the accuracy and speed of critical node detection, with significant implications for network robustness, security, and resource allocation in various real-world applications.