Failure spreading mechanism of weighted complex networks based on a tunable edge weight model

Through defining the influence factor adjusting the percentage of two parameters and the weight parameter adjusting the heterogenous degree of network, the proposed tunable edge weight model is in accordance with the weights of many real networks. Parameter values of tunable edge weight model are achieved when the ability against failure spreading of networks reaches the maximum through numerical simulation. Simulation also shows that if one parameter of betweenness centrality and the degree of the nodes has a large percentage in the tunable edge weight model, the ability against failure spreading of networks will be reduced. The tunable weight model may make sense to enhance the robustness of real-world networks.