Computational Social Dynamics

Computational Social Dynamics is dedicated to using computational methods, artificial intelligence, data science, and complex systems theory to study the formation mechanisms, evolutionary processes, and interactions of social, economic, organizational, and cultural phenomena. It focuses on the dynamic relationships among individual behavior, group interaction, social networks, and technological systems. The journal integrates computational social science, computer science, artificial intelligence, network science, economics, behavioral science, digital humanities, and complex systems research, and encourages computational modeling, machine learning, simulation analysis, and data-driven methods to deepen understanding of complex social phenomena.