AbstractWe implement the methodology of marginal modeling of relational events involving groups of actors, as developed in Bartolucci, Peluso and Mira (2017). Current relational data analyses suffer from the representation of an event through edge variables, with potential loss of information when the events generate a set of multiple relations rather than bilateral connections or ties. To fully exploit the informational content of relational events, we model an event as a binary vector of response variables representing actors participating to the event. Univariate and bivariate distributions of the events are modeled through marginal parameters having a clear social interpretation.
Bartolucci, F., Mira, A., Peluso, S. (2017). Marginal modeling of multilateral relational events. In Proceedings of the 49th Intermediate Meeting of the Italian Statistical Society (pp.1-6). ITA : Firenze University Press.
Marginal modeling of multilateral relational events
Stefano Peluso
2017
Abstract
AbstractWe implement the methodology of marginal modeling of relational events involving groups of actors, as developed in Bartolucci, Peluso and Mira (2017). Current relational data analyses suffer from the representation of an event through edge variables, with potential loss of information when the events generate a set of multiple relations rather than bilateral connections or ties. To fully exploit the informational content of relational events, we model an event as a binary vector of response variables representing actors participating to the event. Univariate and bivariate distributions of the events are modeled through marginal parameters having a clear social interpretation.
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