10. The method of claim 8 , further comprising: initializing one or more elements of the network model; identifying a plurality of state-and-event-specific words for the particular event in contents of the plurality of event-and-time-specific texts; and generating a modified network model based on the plurality of state-and-event-specific words and the plurality of event-and-time-specific texts.
10. The method of claim 8 , further comprising: initializing one or more elements of the network model; identifying a plurality of state-and-event-specific words for the particular event in contents of the plurality of event-and-time-specific texts; and generating a modified network model based on the plurality of state-and-event-specific words and the plurality of event-and-time-specific texts. 11. The method of claim 10 , further comprising: determining unknown parameters of the modified network model using a Baum-Welch algorithm; wherein the Baum-Welch algorithm computes maximum likelihood estimates and posterior mode estimates for the unknown parameters of the modified network model using training data.