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Modeling the Internet and the Web: Probabilistic Methods and Algorithms / Edition 1
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Zhang, Y. Personalised recommendations. Cite paper How to cite? ENW EndNote. Nelson has been analyzing change in topics over time in the Richmond Times-Dispatch to understand social and political changes and continuities in Richmond during the American Civil War. Yang, Torget and Mihalcea applied topic modeling methods to newspapers from — Mimno used topic modelling with 24 journals on classical philology and archaeology spanning years to look at how topics in the journals change over time and how the journals become more different or similar over time.
Yin et al. Chang and Blei  included network information between linked documents in the relational topic model, which allows to model links between websites. The author-topic model by Rosen-Zvi et al. The resulting model is called The AI Tree.
The resulting topics are used to index the papers at aipano. In practice researchers attempt to fit appropriate model parameters to the data corpus using one of several heuristics for maximum likelihood fit. A recent survey by Blei describes this suite of algorithms. Assuming that the data were actually generated by the model in question, they try to design algorithms that probably find the model that was used to create the data. Techniques used here include singular value decomposition SVD and the method of moments. In an algorithm based upon non-negative matrix factorization NMF was introduced that also generalizes to topic models with correlations among topics.
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