Social Network Analytics: Empowering Data Engineering with Deep Learning and Large Language Models

This book presents the cutting-edge techniques of social network analytics, focusing on both the positive and negative aspects of social media.While platforms like X, Facebook, and LinkedIn serve as powerful tools for product promotion and crisis management, they also present challenges such as the spread of misinformation, cyberbullying, and hateful content.The book explores these dimensions while highlighting the advancements in social media analytics, specifically through the lens of emerging technologies like AI, machine learning, and deep learning.This book is intended for data engineers, researchers, practitioners, and students in the fields of data science, social computing, and artificial intelligence. Explores state-of-the-art deep learning methodologies tailored for social network analysis, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Graph Neural Networks (GNNs) to uncover hidden patterns and trends within social media data. Examines