Group Cohesion

Group cohesion, the degree of interconnectedness and solidarity within a group, is a multifaceted phenomenon studied across diverse fields, from social psychology to artificial intelligence. Current research focuses on understanding the factors driving cohesion, including trust (especially in human-robot teams), shared attributes (like diet and gender in adolescent groups), and emergent behaviors in multi-agent systems. Researchers employ various methods, such as social network analysis, machine learning algorithms (including reinforcement learning and graph convolutional networks), and even novel approaches drawing parallels between material science and social dynamics. These investigations aim to improve the design of collaborative systems, enhance our understanding of social dynamics, and potentially offer insights into complex social phenomena like the spread of misinformation.