Topological Analysis of a Complex Trust Network

In view of the problem that the current trust models only are simulated in a simple network or a small-scale network, ignoring the macroscopic properties of trusted network, a complex trust network is built by using complex network approach and some important topological properties of the network are quantitative analyzed from macrospector perspective. First a trust model is built with complex network approach, and then several topological properties, such as node degree, cumulative degree distribution, k-core, network clustering coefficient, network average path length, and betweenness are analyzed by using the actual large-scale network data. These properties indicate that the complex trust network is a small-world network with scale-free characteristic. At last the practical value of these indicators is analyzed.