Structural Analysis for Diffusion using Simulation in Agent-Based Modeling with Multi Micro Factor

This paper introduces analysis of structure for diffusion. Because of diffusion as individual level agent-based modeling and multi agent simulation about diffusion are effective. Previous research shows the factor related agent are the consumer behavior and the information network. In this research the other factor was added. As a result of addition, the factor is multi. The factor is micro not macro. Micro means the factor is changed in diffusion process. The factor both multi and micro are reflected to agent-based modeling. Multi agent simulation by agent-based modeling was done. As a result of simulation, we could produce diffusion phenomenon. Because of multi micro factor complicated phenomenon could be produced. Example of complicated phenomenon is chasm or inverse chasm. Complicated phenomenon depends on the factor. Originality about this research is that the structure for diffusion was revealed by consideration of simulation result. The structure for diffusion consists of the consumer behavior and the information network.