Description: Mastering Graph-Powered Social Media Analytics: Theory, Systems, and Practice explores advanced methods for analyzing social media data using graph-based techniques. It applies concepts from Graph Theory to model relationships between users, posts, and interactions as interconnected networks.
The subject covers theoretical foundations such as network structures, centrality measures, community detection, and information diffusion. It also examines systems and tools used to process large-scale social data efficiently. Practical applications include influencer identification, sentiment analysis, trend prediction, fake news detection, and recommendation systems.
By combining theory with real-world practice, this approach enables deeper insights into user behavior, social influence, and digital communication patterns, making it essential for data-driven decision-making in modern social media environments.