Information diffusion is a research area within the field of computer science and social network analysis that focuses on the spread of information through social networks and other communication channels. Researchers in this area study how information, ideas, news, and behaviors are shared and adopted by individuals within a network, and the factors that influence the speed and reach of this diffusion process. Key topics in information diffusion research include network structure and topology, the role of influencers and opinion leaders in driving diffusion, the impact of social connections and ties on information spread, and the development of mathematical models to predict and analyze diffusion patterns. This research area has applications in fields such as marketing, public health, and social media analysis, where understanding how information spreads can help organizations better target their messages and interventions.