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For complex networks,their effectiveness and invulnerability are extremely important.With the development of complex networks,how to evaluate the effectiveness and invulnerability of these networks becomes an important research topic.The relationship among many influencing factors is very complicated,so it is essential to confirm the weighting coefficient of these influencing factors.Principal component analysis (PCA) is proposed to evaluate the performance of complex networks.It can improve one-sidedness of the single evaluation index and select different evaluation models according to different complex networks,which make the evaluation result more accurate.Performance of complex networks can be predicted according to comprehensive evaluation model.To verify the rationality and validity of this method,several small-world networks with different probability values and scale-flee network are chosen to evaluate the network performance.Finally,simulation results show that PCA can be applied to performance evaluation of complex networks.