Visualization of parallel modeling of dynamical processes on stochastic Kronecker graphs

This article focuses on the visualization of parallel modeling of dynamic processes on complex networks. The proposed method based on the parallel visualization of each part of parallel algorithm of modeling. This approach is applied to visualization of the stochastic Kronecker graph. The experiments have shown that our approach facilitates the visual analysis and helps to investigate the dynamic processes into network.