Cascade Simulation On Optimized Networks

Cascade phenomena, which are sequences of adoption by agents, are the important driven forces for the society to make a successful diffusion of innovation. Cascade phenomena on complex networks occur under a range of conditions (or known as cascade windows) defined by both the average degree of the underlying network topology and the threshold of each agents(or nodes). In this paper, we obtain optimal networks for good cascade using generic algorithm (GA). In order to obtain the optimal network for good cascade, the network should have a sufficient number of vulnerable nodes and hub nodes of medium sizes, in other words, the degree distribution of the optimal network should follow a linear combination of Poisson and uniform distribution.