Journal of Computational Social Dynamics

JCSD publishes high-quality, peer-reviewed articles that explore the complex interplay between computational methods and social dynamics. The journal welcomes submissions that employ computational models, data analysis techniques, network analysis, agent-based modeling, machine learning, and other computational tools to investigate various aspects of human behavior and societal phenomena.

The journal aims to foster a deeper understanding of the social world by applying cutting-edge computational techniques to address fundamental questions about human interactions, collective behavior, social networks, opinion formation, cultural dynamics, diffusion of information, social influence, and other related topics. By bridging the gap between computational methodologies and social sciences, JCSD facilitates the development of innovative theories and methodologies in the emerging field of computational social dynamics.