We implement the methodology of marginal modeling of relational events involving groups of actors, as developed in [3]. 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., Peluso, S., Mira, A. (2017). Marginal modeling of multilateral relational events. In Proceedings of the 49th Intermediate Meeting of the Italian Statistical Society (pp.123-128). Firenze University Press.
Marginal modeling of multilateral relational events
Peluso, S;
2017
Abstract
We implement the methodology of marginal modeling of relational events involving groups of actors, as developed in [3]. 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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