  The Volume-Audience-Match simulator, or VAM was applied to predict future
activity on Twitter related to international economic affairs. VAM was applied
to do timeseries forecasting to predict the: (1) number of total activities,
(2) number of active old users, and (3) number of newly active users over the
span of 24 hours from the start time of prediction. VAM then used these volume
predictions to perform user link predictions. A user-user edge was assigned to
each of the activities in the 24 future timesteps. VAM considerably
outperformed a set of baseline models in both the time series and
user-assignment tasks
