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
Hierarchical Information Enhancement Network for Cascade Prediction in Social Networks
Fanrui Zhang, Jiawei Liu, Qiang Zhang, Xiaoling Zhu, Zheng-Jun Zha
Multi-perspective Memory Enhanced Network for Identifying Key Nodes in Social Networks
Qiang Zhang, Jiawei Liu, Fanrui Zhang, Xiaoling Zhu, Zheng-Jun Zha