AI RESEARCH
Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy
arXiv CS.LG
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ArXi:2605.30432v1 Announce Type: cross Social systems consist of networks of individuals who influence one another through social interactions. Studying how processes evolve on these networks can help us better understand patterns of social behavior. We study a system that couples online and offline social activity and investigate how to learn effective models directly from data using Weak Form Sparse Identification of Nonlinear Dynamics (WSINDy), a method for discovering governing equations.