A Network Generation Model that Reproduces Multi-burst Information Diffusion

Abstract

In recent years, it has become necessary to establish a method for suppressing the spread of rumor information at an early stage. However, the actual information diffusion phenomenon is so complicated that it cannot be easily understood. Therefore, the purpose of this research is to construct an information diffusion model that can reproduce the actual hoax, and use it as a starting point for estimating the information diffusion mechanism. It is said that there are roughly two patterns in information diffusion on a network. That is, there is a single burst type information diffusion in which the information diffusion peak happens only once. Addictionals, a multi-burst type information diffusion in which the information diffusion peak happens more than once. The main goal of this research is to reproduce multi-burst information diffusion, which has been slow to reproduce, compared to single-burst information diffusion.