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| System Effectiveness Evaluation Method for Multi-Spacecraft Operational Systems Based on Complex Network Theory |
| NI Yu1， XU Yazhou2， LUO Yizhe1，3，4， YU Mengxin2， JIN Zhao1，3，4，
FENG Shuo1，3，4， SHI Yucheng1，3，4， XU Mingliang 1，3，4 |
| 1. School of Computer and Artificial Intelligence， Zhengzhou University， Zhengzhou 450001， Henan，China；
2. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China； 3. Engineering Research
Center of Intelligent Swarm Systems， Ministry of Education， Zhengzhou 450001， Henan，China；
4. National Supercomputing Center in Zhengzhou， Zhengzhou 450001， Henan，China |
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Abstract To address issues such as insufficient consideration of interrelationships among operational links, imperfect construction of multi-simulation-node evaluation systems, limited sources of assessment data, and significant interference from subjective data, this study introduces an integrated system-of-systems effectiveness evaluation framework that combines complex network theory and multi-agent simulation technology, facilitating a comprehensive analysis and quantitative assessment of dynamic interactions and overall effectiveness in complex systems. Firstly, integrating simulation platforms with physical models produced indicator data for system-level evaluation under specified scenarios and schemes. Secondly, simulation nodes and their corresponding data were mapped into nodes and relationships within a complex network, where corresponding capability matrices were constructed. Finally, within the defined combat scenarios and simulation nodes, effectiveness metrics for each scheme were quantified by incorporating link information derived from complex network analysis and capability matrices for different combat loops, followed by a systematic comparison and analysis of their effectiveness. Experimental results show that the proposed method effectively assesses each scheme's strengths and weaknesses, while also intuitively illustrating how effectiveness evolves over time and highlighting overall trends across various combat loops.
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Received: 08 December 2025
Published: 11 March 2026
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2026, Vol. 9 
