Social Network
Social network analysis investigates the structure and dynamics of interconnected individuals or entities, aiming to understand information diffusion, influence propagation, and collective behavior. Current research focuses on developing sophisticated models, including graph neural networks, Markov decision processes, and large language models, to analyze diverse aspects such as misinformation detection, opinion dynamics, and recommendation systems. These advancements have significant implications for various fields, improving our understanding of social phenomena and enabling the development of more effective tools for combating online harms and enhancing user experience on social media platforms.
Papers
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma
Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendation
Thi Linh Hoang, Tuan Dung Pham, Viet Cuong Ta