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, 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 within the relational event history from the baseline communications behavior are determined.

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, 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 within the relational event history from the baseline communications behavior are determined.

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, 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 within the relational event history from the baseline communications behavior are determined.

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, 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 within the relational event history from the baseline communications behavior are determined.

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, 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 within the relational event history from the baseline communications behavior are determined.

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, 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 within the relational event history from the baseline communications behavior are determined.

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, 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 within the relational event history from the baseline communications behavior are determined.

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, 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 within the relational event history from the baseline communications behavior are determined.

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, where the probability model includes one or more statistical parameters and corresponding statistics, and where at least one of the one or more statistics is determined using a decay function. A baseline communications behavior for the relational event history is determined based on the populated probability model, and, based on a second set of values for the statistical parameters, departures within the relational event history from the baseline communications behavior are determined.

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, where the probability model includes one or more statistical parameters and corresponding statistics, and where at least one of the one or more statistics is determined using a decay function. A baseline communications behavior for the relational event history is determined based on the populated probability model, and, based on a second set of values for the statistical parameters, departures within the relational event history from the baseline communications behavior are determined.

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. The set of sequential decisions includes a decision to send a communication, and one or more decisions as to recipients. For a relational event in the relational event history, one or more possible sequences in which the actor decided to include the recipients of the communication are determined. A baseline communications behavior for the relational event history is determined, and departures from the baseline communications behavior within the relational event history are determined.

Abstract: 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 is formulated as a series of conditional probabilities that correspond to a set of sequential decisions by an actor for each relational event, the probability model including 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. A baseline communications behavior for the relational event history is determined, the baseline including a first set of values for the one or more statistical parameters, and departures from the baseline communications behavior are determined.

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.

Abstract: A relational event history is determined based on a data set, the relational event history. 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, where the set of sequential decisions includes at least two decisions as to recipients of a relational event, where the probability model includes one or more statistical parameters and corresponding statistics that relate to one or more of senders, modes, topics, or recipients of relational events. A baseline communications behavior for the relational event history is determined based on the populated probability model, the baseline including a first set of values for the one or more statistical parameters, and departures within the relational event history from the baseline communications behavior are determined.