Social Group

Social group research investigates the structure, dynamics, and impact of social groupings, aiming to understand how individuals interact within and across groups. Current research focuses on developing algorithms to analyze large social networks, addressing challenges like identifying and mitigating biases in data representation and improving the accuracy of group detection in complex scenarios using techniques like graph neural networks and latent class analysis. This work has significant implications for fairness in AI, enhancing the transparency of decision-making processes, and improving the design of robotic systems that interact effectively with human groups.