Graph-Based Social Media Data on Mental Health Topics
Description
This dataset is structured as a graph where users are represented as nodes and their interactions, such as tweets, retweets, replies, and mentions, are represented as edges. Each node contains detailed information about the user, including their name, ID, number of followers and following, and tweet activity, offering insights into their identity, role, and influence within the mental health discourse. The edges illustrate the interactions between users, highlighting engagement patterns and the types of content that drive user interactions, such as tweet impressions. By analyzing these interactions, the dataset provides valuable insights for sentiment analysis, enabling researchers to explore public reactions to mental health topics, identify engagement trends, and understand which aspects of mental health resonate most with the audience.