Answers are grounded in this paper and cite their sources.
This approach assesses network vulnerability using connected components in mega-constellation networks, suggesting new insights into performance evaluation.
Regarding the vulnerability assessment of mega-constellation networks, a complex network model of a space-ground integrated network is established. The characteristics and functions of each node unit are sorted out, and the information connectivity and interaction relationships among various units under multiple constraints are analyzed. The largest connected component is selected as the characteristic quantity reflecting the overall effectiveness of the complex network. According to the specific characteristics of the proposed complex network, the concept of the partition-critical node set is defined, and it is solved and verified based on the idea of betweenness centrality. In the simulation of the vulnerability assessment of the mega-constellation network, the assessment method based on the calculation of the largest connected component proposed in this paper is proven to be able to effectively and real-timely reflect the changing trend of network performance. This method demonstrates its reliability in the research of the anti-destruction technology of mega-constellation networks and provides a new perspective for the effectiveness assessment of mega-constellation networks.
No takes yet. Share an insight, caveat, or question.
Su et al. (2025) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: