Twitter is a popular microblogging service in Japan. People use the Twitter for communicating with friends, and posting tweet daily life events. In addition, Twitter has also been used in an emergency situation, such as the earthquake. In the East Japan great earthquake disaster, people were using Twitter to get refuge and rescue informations. However, spreading false rumor has become a major social problem. We aim to propose suppression scheme of false rumor. Therefore, we propose a novel multiagent-based information diffusion model to reveal the diffusion mechanism of false rumor in this paper. Our model is to focus on the information diffusion behavior of each Twitter user. We consider three elements of each user, “User’s diversity”, “Life pattern”, and “State transition”. In addition, our model also takes into account multiple of the information path, which is a feature of Twitter. We evaluate the validity of our model.