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A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann and Morten Mørup IEEE Transactions on Knowledge and Data Engineering 36(4) 1399 (2024) https://doi.org/10.1109/TKDE.2023.3304344
Conformal link prediction for false discovery rate control
A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate
Marten Brienen, Lixia H. Lambert, Dayton M. Lambert and John Schoeneman Journal of Industrial and Business Economics 50(4) 943 (2023) https://doi.org/10.1007/s40812-023-00271-3
Grounding force-directed network layouts with latent space models
Dependence matters: Statistical models to identify the drivers of tie formation in economic networks
Giacomo De Nicola, Cornelius Fritz, Marius Mehrl and Göran Kauermann Journal of Economic Behavior & Organization 215 351 (2023) https://doi.org/10.1016/j.jebo.2023.09.021
Revisiting the recombinant history of HIV-1 group M with dynamic network community detection
Abayomi S. Olabode, Garway T. Ng, Kaitlyn E. Wade, et al. Proceedings of the National Academy of Sciences 119(19) (2022) https://doi.org/10.1073/pnas.2108815119
Error rate control for classification rules in multiclass mixture models
Tristan Mary-Huard, Vittorio Perduca, Marie-Laure Martin-Magniette and Gilles Blanchard The International Journal of Biostatistics 18(2) 381 (2022) https://doi.org/10.1515/ijb-2020-0105
Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure
Dragana M. Pavlović, Bryan R.L. Guillaume, Emma K. Towlson, Nicole M.Y. Kuek, Soroosh Afyouni, Petra E. Vértes, B.T. Thomas Yeo, Edward T. Bullmore and Thomas E. Nichols NeuroImage 220 116611 (2020) https://doi.org/10.1016/j.neuroimage.2020.116611
Properties of the stochastic approximation EM algorithm with mini-batch sampling
Inference for a generalised stochastic block model with unknown number of blocks and non-conjugate edge models
Matthew Ludkin Computational Statistics & Data Analysis 152 107051 (2020) https://doi.org/10.1016/j.csda.2020.107051
Dragana M. Pavlović, Bryan R. L. Guillaume, Emma K. Towlson, Nicole M. Y. Kuek, Soroosh Afyouni, Petra E. Vértes, Thomas B. T. Yeo, Edward T. Bullmore and Thomas E. Nichols (2019) https://doi.org/10.1101/672071
Nonparametric Identification in the Dynamic Stochastic Block Model
Overlapping community detection for count-value networks
QianCheng Yu, ZhiWen Yu, Zhu Wang, XiaoFeng Wang and YongZhi Wang Human-centric Computing and Information Sciences 9(1) (2019) https://doi.org/10.1186/s13673-019-0202-9
The stochastic topic block model for the clustering of vertices in networks with textual edges
Stochastic Block Models for Multiplex Networks: An Application to a Multilevel Network of Researchers
Pierre Barbillon, Sophie Donnet, Emmanuel Lazega and Avner Bar-Hen Journal of the Royal Statistical Society Series A: Statistics in Society 180(1) 295 (2017) https://doi.org/10.1111/rssa.12193
Statistical Clustering of Temporal Networks Through a Dynamic Stochastic Block Model
Catherine Matias and Vincent Miele Journal of the Royal Statistical Society Series B: Statistical Methodology 79(4) 1119 (2017) https://doi.org/10.1111/rssb.12200
The dynamic random subgraph model for the clustering of evolving networks
How Structured Is the Entangled Bank? The Surprisingly Simple Organization of Multiplex Ecological Networks Leads to Increased Persistence and Resilience