D-MODD is a data-derived Langevin stochastic differential equation whose transition kernel reproduces the one-step opinion change probabilities observed in social media data on a polarized climate topic.
Barber´ a, Birds of the same feather tweet together: Bayesian ideal point estimation using twitter data, Po- litical Analysis23, 76 (2015)
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D-MODD: A Diffusion Model of Opinion Dynamics Derived from Online Data
D-MODD is a data-derived Langevin stochastic differential equation whose transition kernel reproduces the one-step opinion change probabilities observed in social media data on a polarized climate topic.