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Statistical clustering of temporal networks through a dynamic stochastic block model

Citations

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Cited by:

  1. Hledik, Juraj & Rastelli, Riccardo, 2020. "A dynamic network model to measure exposure diversification in the Austrian interbank market," ESRB Working Paper Series 109, European Systemic Risk Board.
  2. Riccardo Rastelli & Michael Fop, 2020. "A stochastic block model for interaction lengths," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(2), pages 485-512, June.
  3. Dalila Failli & Maria Francesca Marino & Francesca Martella, 2025. "A Novel Approach for Biclustering Bipartite Networks: An Extension of Finite Mixtures of Latent Trait Analyzers," Journal of Classification, Springer;The Classification Society, vol. 42(3), pages 492-516, November.
  4. Li, Mengxue & von Sachs, Rainer & Pircalabelu, Eugen, 2024. "Time-varying degree-corrected stochastic block models," LIDAM Discussion Papers ISBA 2024014, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  5. Lorenzo Federico & Ayoub Mounim & Pierpaolo D’Urso & Livia De Giovanni, 2024. "Complex networks and deep learning for copper flow across countries," Annals of Operations Research, Springer, vol. 339(1), pages 937-963, August.
  6. Joshua Daniel Loyal & Yuguo Chen, 2020. "Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic," International Statistical Review, International Statistical Institute, vol. 88(2), pages 419-440, August.
  7. Wei Zhao & S.N. Lahiri, 2022. "Estimation of the Parameters in an Expanding Dynamic Network Model," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(1), pages 261-282, June.
  8. Marc-Antoine Faure & César Ducruet, 2025. "Shipping Network Research: A Systematic and Quantitative Review," EconomiX Working Papers 2025-27, University of Paris Nanterre, EconomiX.
  9. Fabio Ashtar Telarico, 2023. "Are Sanctions for Losers? [Les sanctions sont-elles destinées aux perdants ?]," Post-Print hal-04238902, HAL.
  10. Juraj Hledik & Riccardo Rastelli, 2023. "A dynamic network model to measure exposure concentration in the Austrian interbank market," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(5), pages 1695-1722, December.
  11. Luca Brusa & Fulvia Pennoni, 2025. "Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 19(2), pages 469-492, June.
  12. Marino, Maria Francesca & Pandolfi, Silvia, 2022. "Hybrid maximum likelihood inference for stochastic block models," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).
  13. Jiang, Binyan & Li, Jialiang & Yao, Qiwei, 2023. "Autoregressive networks," LSE Research Online Documents on Economics 119983, London School of Economics and Political Science, LSE Library.
  14. Francesco Bartolucci & Antonietta Mira & Stefano Peluso, 2025. "Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 19(4), pages 895-920, December.
  15. Jiajia Wang, 2025. "Dynamic Latent Space Model With Position Clusters and Its Application in International Trade Network," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2025(1).
  16. Zhiwei Yang & Weigang Wu & Yishun Chen & Xiaola Lin & Jiannong Cao, 2018. "(Q, S)-distance model and counting algorithms in dynamic distributed systems," International Journal of Distributed Sensor Networks, , vol. 14(1), pages 15501477187, January.
  17. Vincent Miele & Catherine Matias & Stéphane Robin & Stéphane Dray, 2019. "Nine quick tips for analyzing network data," PLOS Computational Biology, Public Library of Science, vol. 15(12), pages 1-10, December.
  18. Li Guo & Wolfgang Karl Härdle & Yubo Tao, 2024. "A Time-Varying Network for Cryptocurrencies," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 437-456, April.
  19. Chabert-Liddell, Saint-Clair & Barbillon, Pierre & Donnet, Sophie & Lazega, Emmanuel, 2021. "A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations," Computational Statistics & Data Analysis, Elsevier, vol. 158(C).
  20. Noroozi, Majid & Pensky, Marianna, 2024. "Sparse subspace clustering in diverse multiplex network model," Journal of Multivariate Analysis, Elsevier, vol. 203(C).
  21. Saint‐Clair Chabert‐Liddell & Pierre Barbillon & Sophie Donnet, 2022. "Impact of the mesoscale structure of a bipartite ecological interaction network on its robustness through a probabilistic modeling," Environmetrics, John Wiley & Sons, Ltd., vol. 33(2), March.
  22. Dingge Liang & Marco Corneli & Charles Bouveyron & Pierre Latouche, 2025. "Clustering by deep latent position model with graph convolutional network," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 19(1), pages 237-270, March.
  23. Marc-Antoine Faure & César Ducruet, 2026. "The Blue Connection. A Systematic and Critical Review of Shipping Network Research," Networks and Spatial Economics, Springer, vol. 26(1), pages 129-188, March.
  24. C Matias & T Rebafka & F Villers, 2018. "A semiparametric extension of the stochastic block model for longitudinal networks," Biometrika, Biometrika Trust, vol. 105(3), pages 665-680.
  25. Daizaburo Shizuka & Allison E Johnson & Leigh Simmons, 2020. "How demographic processes shape animal social networks," Behavioral Ecology, International Society for Behavioral Ecology, vol. 31(1), pages 1-11.
  26. Paul Riverain & Simon Fossier & Mohamed Nadif, 2023. "Poisson degree corrected dynamic stochastic block model," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(1), pages 135-162, March.
  27. Fabio Ashtar Telarico, 2023. "Are sanctions for losers? A network study of trade sanctions," Papers 2310.08193, arXiv.org.
  28. Chen, Guodong & Arroyo, Jesús & Athreya, Avanti & Cape, Joshua & Vogelstein, Joshua T. & Park, Youngser & White, Chris & Larson, Jonathan & Yang, Weiwei & Priebe, Carey E., 2025. "Multiple network embedding for anomaly detection in time series of graphs," Computational Statistics & Data Analysis, Elsevier, vol. 203(C).
  29. Nathan B. Wikle & Ephraim M. Hanks & David P. Hughes, 2019. "A Dynamic Individual-Based Model for High-Resolution Ant Interactions," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(4), pages 589-609, December.
  30. Juraj Hledik & Riccardo Rastelli, 2018. "A dynamic network model to measure exposure diversification in the Austrian interbank market," Papers 1804.01367, arXiv.org, revised Aug 2018.
  31. Thorben Funke & Till Becker, 2019. "Stochastic block models: A comparison of variants and inference methods," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-40, April.
  32. Dragana M. Pavlović & Bryan R.L. Guillaume & Soroosh Afyouni & Thomas E. Nichols, 2020. "Multi‐subject stochastic blockmodels with mixed effects for adaptive analysis of individual differences in human brain network cluster structure," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 363-396, August.
  33. Ludkin, Matthew, 2020. "Inference for a generalised stochastic block model with unknown number of blocks and non-conjugate edge models," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).
  34. Anuška Ferligoj & Vladimir Batagelj & Marjan Cugmas & Franc Mali, 2025. "Bridging borders or widening gaps? The dynamics of European scientific collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(12), pages 7005-7030, December.
  35. Lee, Kevin H. & Xue, Lingzhou & Hunter, David R., 2020. "Model-based clustering of time-evolving networks through temporal exponential-family random graph models," Journal of Multivariate Analysis, Elsevier, vol. 175(C).
  36. Jun Liu & Jiangzhou Wang & Binghui Liu, 2020. "Community Detection of Multi-Layer Attributed Networks via Penalized Alternating Factorization," Mathematics, MDPI, vol. 8(2), pages 1-20, February.
  37. Bartolucci, Francesco & Marino, Maria Francesca & Pandolfi, Silvia, 2018. "Dealing with reciprocity in dynamic stochastic block models," Computational Statistics & Data Analysis, Elsevier, vol. 123(C), pages 86-100.
  38. Fabio Ashtar Telarico & Franc Mali & Aleš Žiberna, 2024. "Revealing dynamic co-authorship structure in the social sciences through blockmodeling: the Slovenian case (1991–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5635-5672, September.
  39. Ovielt Baltodano L'opez & Roberto Casarin, 2022. "A Dynamic Stochastic Block Model for Multidimensional Networks," Papers 2209.09354, arXiv.org, revised Jul 2025.
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