Abstract: Traditional node importance assessment only considers topologies， subjective and objective assignment methods have limitations. In order to integrate multiple assessment indicators accurately and effectively， the service-oriented node importance indicator system was established and the subjective and objective comprehensive weighting method based on particle swarm and an approximate ideal solution sorting algorithm based on cosine distance and grey correlation were proposed. The results show that removing or repairing the important nodes evaluated by the method has a greater impact on the network performance compared with traditional methods. The node importance assessment algorithm is more accurate than traditional algorithms.

Key words: space-based information network; node importance; service oriented; combination weight; TOPSIS (techique for order prefece by similarity to ideal solution)