マルチエージェントによるマルチバースト型デマ拡散モデルの構築

抄録

During the 2011 East Japan Great Earthquake Disaster, some people used social media such as Twitter to get information important to their lives. Therefore, social media users pay attention to prevent wrong information from diffusing. In this paper, we propose a novel information diffussion model, the Agent-based Information Diffusion Model (AIDM). We have proposed information diffusion model which is based on SIR model until now. This model is represented by the stochastic state transition model for whether to propagate the information, and its transition probability is de ned as the same value for all agents. People's thinking or actions are not the same. To solve this problem, we adopted three elements in our model: A new internal state switching model, user diversity and multiplexing of information paths. Furthermore, we try reappearance of multi-burst type information diffusion, and evaluate our proposal model by comparing real data.