Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks-Reference-Cited by-同舟云学术

Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks

Published:2024-03-01 Issue:1 Volume:19 Page:
ISSN:1936-0975
Container-title:Bayesian Analysis
language:
Short-container-title:Bayesian Anal.

Author:

Amini Arash¹,Paez Marina²,Lin Lizhen³

Affiliation:

1. Department of Statistics, The University of California at Los Angeles, USA

2. Department of Statistical Methods, Federal University of Rio de Janeiro, Brazil

3. Department of Applied and Computational Mathematics and Statistics, The University of Notre Dame, USA

Publisher

Institute of Mathematical Statistics

Subject

Applied Mathematics,Statistics and Probability

Reference39 articles.

1. Amini, A., Paez, M., and Lin, L. (2021). “The hsbm R package: Hierarchical Stochastic Block Model.” URL https://github.com/aaamini/hsbm

2. Amini, A. A., Paez, M., Lin, L., and Razaee, Z. S. (2019). “Exact slice sampler for Hierarchical Dirichlet Processes.” arXiv e-prints, arXiv:1903.08829.

3. Battiston, F., Nicosia, V., and Latora, V. (2014). “Structural measures for multiplex networks.” Physical Review E, 89: 032804. URL https://link.aps.org/doi/10.1103/PhysRevE.89.032804

4. Berlingerio, M., Coscia, M., and Giannotti, F. (2011). “Finding and Characterizing Communities in Multidimensional Networks.” In 2011 International Conference on Advances in Social Networks Analysis and Mining, 490–494.

5. Berlingerio, M., Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D. (2013). “Evolving Networks: Eras and Turning Points.” Intelligent Data Analysis, 17(1): 27–48.

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