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 [ 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 in social networks 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 | ||
| + | }} | ||
Latest revision as of 15:55, 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 in social networks is due to Raftery etal in Latent space approaches to social network analysis in Journal of American Statistical Association.
