👉 Feeds Math is a framework for modeling and analyzing the flow of information through social media feeds, particularly focusing on how content spreads and evolves over time. It mathematically represents the interactions between users, content types, and the temporal dynamics of information dissemination. The core idea is to model feeds as directed graphs where nodes represent users or content items, and edges signify interactions like likes, shares, or comments. Feeds Math incorporates differential equations and network theory to capture the diffusion process, allowing researchers to predict trends, understand the impact of different content types, and analyze the role of influential users in spreading information. By quantifying these dynamics, Feeds Math provides insights into the structure and behavior of online social networks, aiding in the development of more effective content strategies and understanding the broader implications of information flow in digital environments.
