Popularity Prediction

Popularity prediction focuses on forecasting the future success of online content, such as social media posts or app reviews, using various data sources and modeling techniques. Current research emphasizes leveraging temporal dynamics and network structures through advanced neural network architectures like graph attention networks, recurrent neural networks, and transformers, often incorporating attention mechanisms and time embeddings to improve accuracy. This field is crucial for optimizing resource allocation in areas like content caching and recommendation systems, as well as understanding information diffusion processes in online social networks.