The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
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
Complex networks and deep learning for copper flow across countries
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
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
Characterization of expansion-related properties of modular graphs
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
EM-based smooth graphon estimation using MCMC and spline-based approaches
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
Latent space models for multiplex networks with shared structure
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood
Etienne Côme, Nicolas Jouvin, Pierre Latouche and Charles Bouveyron Advances in Data Analysis and Classification 15(4) 957 (2021) https://doi.org/10.1007/s11634-021-00440-z
Recent Integrations of Latent Variable Network Modeling With Psychometric Models
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
Nonparametric Identification in the Dynamic Stochastic Block Model
Ann-Kristin Becker and Hajo Holzmann IEEE Transactions on Information Theory 65(7) 4335 (2019) https://doi.org/10.1109/TIT.2019.2893947
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
Daphné Giorgi, Catherine Matias, Tabea Rebafka and Fanny Villers (2018) https://doi.org/10.32614/CRAN.package.ppsbm
A review of dynamic network models with latent variables
Analytic models for SIR disease spread on random spatial networks
John C Lang, Hans De Sterck, Jamieson L Kaiser, Joel C Miller and James Gleeson Journal of Complex Networks 6(6) 948 (2018) https://doi.org/10.1093/comnet/cny004
Goodness of Fit of Logistic Regression Models for Random Graphs
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