4 papers
Dynamics of collective minds in online communities
Seungwoong Ha, Henrik Olsson, Kresimir Jaksic +2
Collective discourse and action are driven by collective minds. These shared semantic representations and related processes shape societal responses to critical societal challenges…
Unveiling hidden features of social evolution by inferring Langevin dynamics from data
Youngkyoung Bae, Hajime Shimao, Seungwoong Ha +2
Are there hidden dynamical common patterns in the evolution of social and cultural history? While the growing availability of digitized social data invites us to answer this questi…
Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks
Youngkyoung Bae, Seungwoong Ha, Hawoong Jeong
Pervasive across diverse domains, stochastic systems exhibit fluctuations in processes ranging from molecular dynamics to climate phenomena. The Langevin equation has served as a c…
Interpretable Machine Learning in Physics: A Review
Sebastian Johann Wetzel, Seungwoong Ha, Raban Iten +2
Machine learning is increasingly transforming various scientific fields, enabled by advancements in computational power and access to large data sets from experiments and simulatio…