Research On Evaluation System Based On Complex Network Topology

With the continuous development of computer technology,we have gradually realized the complex networks are becoming more and more close with us.It is not only reflected in the military command and control,but also in our contact with the surrounding people.Therefore,the correct understanding of the characteristics of complex network structure will make the distribution of data resources and calls become more reasonable in the network optimization,on this basis to build a complex network model.Scientific cognitive network architecture,the scientific and effective evaluation of complex network model has become a problem to be solved.According to the structure characteristics of complex networks and weight calculation of key indicators,and finally the overall performance of complex networks is reflected by the weight.In this paper,we take the subjective weighting method and the objective weighting method as the framework,and integrate the idea of the combination weighting method.Firstly,according to the characteristics of complex network topology,the basic characteristics and properties of complex networks are introduced,and then describes the methods to evaluate the index of complex network system.Four commonly used complex networks such as regular network,small world network,BA scale free network and random network.The four complex networks as the case to be assessed,and then by listing some of the subjective and objective weighting method,analysis of these two types of methods in the assessment of their respective advantages and disadvantages.Finally,the AHP method and the entropy weight method are combined,and the combined method is used to optimize the processing of the dispersion function and the least square principle.Based on the study of complex network topology,through the four aspects of robustness,adaptability,reliability and quality factors to evaluate the performance of complex networks.The final results are found to be consistent with the objective reality by means of the combination weighting method,which indicates that the system is scientific and effective.It not only integrates the characteristics of the subjective and objective weighting method,but also avoids the defects of the two methods.Finally,through the MATLAB and Studio Visual 2010 software to carry out the relevant evaluation of computer implementation,to complete the evaluation of complex network model.