Abstract: A relational event history is determined based on a data set, the relational event history including a set of relational events that occurred in time among a set of actors. Data is populated in a probability model based on the relational event history, where the probability model is formulated as a series of conditional probabilities that correspond to a set of sequential decisions by an actor for each relational event, and where the probability model includes one or more statistical parameters and corresponding statistics. A baseline communications behavior for the relational event history is determined based on the populated probability model, and departures from the baseline communications behavior within the relational event history are determined. Determining departures includes determining and testing a hypothesis regarding communications behavior within the relational event history.

Abstract: One or more user inputs are received. A relational event history is determined based on a data set, where the relational event history includes a set of relational events that occurred in time among a set of actors. Data is populated in a probability model based on the relational event history, where the probability model includes one or more statistical parameters and corresponding statistics that relate to one or more of senders of relational events, modes of relational events, topics of relational events, or recipients of relational events. Graphical analyses of the relational event history are output based on the one or more user inputs.