Corpus ID: 6832072

Bilinear Mixed-Effects Models for Affiliation Networks

@article{Jia2014BilinearMM,
  title={Bilinear Mixed-Effects Models for Affiliation Networks},
  author={Yanan Jia and Catherine A. Calder},
  journal={ArXiv},
  year={2014},
  volume={abs/1406.5954}
}
  • Yanan Jia, Catherine A. Calder
  • Published 2014
  • Computer Science, Mathematics
  • ArXiv
  • An affiliation network is a particular type of two-mode social network that consists of a set of `actors' and a set of `events' where ties indicate an actor's participation in an event. Although networks describe a variety of consequential social structures, statistical methods for studying affiliation networks are less well developed than methods for studying one-mode, or actor-actor, networks. One way to analyze affiliation networks is to consider one-mode network matrices that are derived… CONTINUE READING

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