Introduction to Social Physics and Complex Systems

Are you curious about how the laws of physics can be used to predict social patterns, analyze traffic flow, or understand the spread of information? Social Physics provides a powerful quantitative framework for modeling complex human interactions. This foundational course teaches you the core principles of Social Physics, enabling you to move beyond qualitative descriptions and apply mathematical rigor to understand collective behavior and the structure of social networks. What you'll learn: * Understand the core concepts of Social Physics, including entropy, statistical mechanics, and emergent behavior in collective systems. * Learn foundational network theory (graph structures, centrality, clustering) essential for modeling social interactions and influence. * Apply quantitative models to analyze phenomena such as population movement, information diffusion, and urban growth patterns. * Practice interpreting data-driven simulations and modeling complex systems using the principles of complexity science. * Master the terminology and definitions required to read and evaluate current research in computational social science. The course begins by defining key terminology and foundational concepts before moving into practical modeling principles and case studies drawn from real-world systems. You will read detailed explanations and follow structured, written examples. This course is designed for absolute beginners interested in quantitative social science, complexity, or data analysis, requiring no prior knowledge of advanced physics or programming. Start reading today and transform your understanding of human systems.