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Explore how network science methodologies can be applied to analyze and understand human interactions that occur both in physical environments and digital platforms through this 43-minute research presentation. Discover the interdisciplinary approaches used to map, measure, and model social connections across different spatial contexts, examining how people form networks, maintain relationships, and exchange information in face-to-face settings versus online environments. Learn about the mathematical frameworks and computational tools employed to study complex social systems, including graph theory applications, network topology analysis, and dynamic modeling techniques. Investigate the similarities and differences between physical and digital interaction patterns, understanding how spatial constraints, technological affordances, and social behaviors influence network formation and evolution. Gain insights into the practical applications of this research for urban planning, social media design, public health interventions, and understanding information diffusion across hybrid social environments.
