Hashtag Graph

Hashtag graphs represent the relationships between hashtags and users on social media platforms, aiming to understand information diffusion and community formation. Current research focuses on developing models, such as graph neural networks and variations of BERT, to analyze hashtag propagation, predict virality, and identify user stances on topics, often incorporating both network topology and user identity information. These analyses provide valuable insights into social dynamics, sentiment evolution, and the spread of information online, with applications in areas such as social science research, marketing, and public health monitoring.