Modelling Dyadic Interaction with Hawkes Processes |
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Authors: | Peter F Halpin Paul De Boeck |
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Institution: | 1. Department of Humanities and Social Science in the Professions, New York University, 246 Greene St, Office 316E, 10013-6677, New York, USA 2. Department of Psychology, Ohio State University, 232 Lazenby Hall, 1827 Neil Avenue, 43210, Columbus, USA
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Abstract: | We apply the Hawkes process to the analysis of dyadic interaction. The Hawkes process is applicable to excitatory interactions, wherein the actions of each individual increase the probability of further actions in the near future. We consider the representation of the Hawkes process both as a conditional intensity function and as a cluster Poisson process. The former treats the probability of an action in continuous time via non-stationary distributions with arbitrarily long historical dependency, while the latter is conducive to maximum likelihood estimation using the EM algorithm. We first outline the interpretation of the Hawkes process in the dyadic context, and then illustrate its application with an example concerning email transactions in the work place. |
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