Difference between revisions of "Latent Space Models"
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The important idea in the latent space modelling is that the nodes which are associated with ''p''-dimensional Euclidean space, and points that close in the latent space are more probable to form a link in the network. Seminal paper in the latent space modelling is due to Raftery etal in [http://www.stat.washington.edu/raftery/Research/PDF/hoff2002.pdf Latent space approaches to social network analysis] in Journal of American Statistical Association. | The important idea in the latent space modelling is that the nodes which are associated with ''p''-dimensional Euclidean space, and points that close in the latent space are more probable to form a link in the network. Seminal paper in the latent space modelling is due to Raftery etal in [http://www.stat.washington.edu/raftery/Research/PDF/hoff2002.pdf Latent space approaches to social network analysis] in Journal of American Statistical Association. | ||
| + | == Relevant Papers == | ||
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| + | {{#ask: [[UsesMethod::Latent Space Models]] | ||
| + | | ?AddressesProblem | ||
| + | | ?UsesDataset | ||
| + | }} | ||
Revision as of 15:35, 1 April 2011
The important idea in the latent space modelling is that the nodes which are associated with p-dimensional Euclidean space, and points that close in the latent space are more probable to form a link in the network. Seminal paper in the latent space modelling is due to Raftery etal in Latent space approaches to social network analysis in Journal of American Statistical Association.
