Modeling a Retweet Network via an Adaptive Bayesian Approach-Reference-Cited by-同舟云学术

Modeling a Retweet Network via an Adaptive Bayesian Approach

Published:2016-04-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th International Conference on World Wide Web
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Author:

Bi Bin¹,Cho Junghoo²

Affiliation:

1. Microsoft Research, Redmond, WA, USA

2. University of California, Los Angeles, Los Angeles, CA, USA

Publisher

International World Wide Web Conferences Steering Committee

Link

https://dl.acm.org/doi/pdf/10.1145/2872427.2882985

Reference36 articles.

1. Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering

2. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems

3. E. Baralis T. Cerquitelli S. Chiusano L. Grimaudo and X. Xiao . Analysis of twitter data using a multiple-level clustering strategy . In A. Cuzzocrea and S. Maabout editors MEDI volume 8216 of Lecture Notes in Computer Science pages 13 -- 24 . Springer 2013 . 10.1007/978-3-642-41366-7_2 E. Baralis T. Cerquitelli S. Chiusano L. Grimaudo and X. Xiao. Analysis of twitter data using a multiple-level clustering strategy. In A. Cuzzocrea and S. Maabout editors MEDI volume 8216 of Lecture Notes in Computer Science pages 13--24. Springer 2013. 10.1007/978-3-642-41366-7_2

4. Scalable topic-specific influence analysis on microblogs

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