| Description |
Information diffusion is the process by which a piece of information disperses through a network. Whether it be computer viruses spreading via the internet or diseases transmitting through a school, understanding how information diffuses is extremely relevant to fields such as marketing, emergency management, and social media. Though information diffusion has been studied, much of the dominant research focuses on creating computer science algorithms to model diffusion. In this project, we focus on creating a model to accurately and visually show the spread of misinformation in a random graph. We will use a branch of applied mathematics called game theory to define players, their respective strategy sets, and utility functions. Utility functions will vary based on an individual's prior beliefs about the state of the world and attacker. We will then explore different distributions of prior beliefs and how the diffusion, or the virality of information is affected. |
