Researches on Evaluations of Large-scale Complex Networks Topologies

Abstract

To evaluate overall performance of a large-scale network topology is a primary step in network studies. By determining the weight of the complex network topology structure, both hierarchy process and entropy weight method were introduced to avoid incorrect results out of randomness due to lack of experiences in the subjective weighting method, as well as to avoid the inconsistent output of objective weighting method. Experiments results show that, on comprehensive performance point of view, Random network is the best followed by small world network, scale free network rank next and the regular network is at last. The assessment systems and algorithms could be widely used in circumstances where quantitative evaluations of networks performances are required.