PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection
Author:
Affiliation:
1. Department of Statistics, Columbia University, New York, NY
2. Department of Biostatistics, New York University, New York, NY
Funder
NIH
NYU University Research Challenge Fund
NYU School of Global Public Health
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2023.2244731
Reference53 articles.
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3. Pseudo-likelihood methods for community detection in large sparse networks
4. Beasley, J. E. (1998), Heuristic Algorithms for the Unconstrained Binary Quadratic Programming Problem (Vol. 4), London, UK: Management School, Imperial College.
5. Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
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1. Yang Feng and Jiajin Sun’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu;Journal of the Royal Statistical Society Series B: Statistical Methodology;2024-06-12
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