ArticleStatistics surveys2018
A review of dynamic network models with latent variables.
Article in Statistics surveys, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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Who cites it
24 citing papers in PubMed.
- Temporal network analysis in systems biology: concepts, inference, and validation.Frontiers in bioinformatics · 2026Review
- Influence networks: Bayesian modeling and diffusion.Journal of applied statistics · 2026Article
- Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling.Medical image analysis · 2025Article
- An Extended Langevinized Ensemble Kalman Filter for non-Gaussian Dynamic Systems.Computational statistics · 2024Article
- Enhanced Safety in Autonomous Driving: Integrating a Latent State Diffusion Model for End-to-End Navigation.Sensors (Basel, Switzerland) · 2024Article
- Bayesian Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte Carlo.Bayesian analysis · 2024Article
- Safe Autonomous Driving with Latent Dynamics and State-Wise Constraints.Sensors (Basel, Switzerland) · 2024Article
- EasyDAM_V4: Guided-GAN-based cross-species data labeling for fruit detection with significant shape difference.Horticulture research · 2024Article
- Latent Variable Machine Learning Framework for Catalysis: General Models, Transfer Learning, and Interpretability.JACS Au · 2024Article
- Joint Latent Space Model for Social Networks with Multivariate Attributes.Psychometrika · 2023Article
- A DYNAMIC ADDITIVE AND MULTIPLICATIVE EFFECTS NETWORK MODEL WITH APPLICATION TO THE UNITED NATIONS VOTING BEHAVIORS.The annals of applied statistics · 2023Article
- Estimating contact network properties by integrating multiple data sources associated with infectious diseases.Statistics in medicine · 2023Article
- A latent space model and Hotelling's TJournal of applied statistics · 2023Article
- CONSISTENT SPECTRAL CLUSTERING OF NETWORK BLOCK MODELS UNDER LOCAL DIFFERENTIAL PRIVACY.The Journal of privacy and confidentiality · 2022Article
- Testing for association in multiview network data.Biometrics · 2022Article
- An Experimental Study on the Scalability of Recent Node Centrality Metrics in Sparse Complex Networks.Frontiers in big data · 2022Article
- Resident interactions when affirming and correcting peers in a therapeutic community for women.Therapeutic communities · 2021Article
- Predictive learning as a network mechanism for extracting low-dimensional latent space representations.Nature communications · 2021Article
- Recent Integrations of Latent Variable Network Modeling With Psychometric Models.Frontiers in psychology · 2021Review
- Hyperbolic mapping of human proximity networks.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We present a selective review of statistical modeling of dynamic networks. We focus on models with latent variables, specifically, the latent space models and the latent class models (or stochastic blockmodels), which investigate both the observed features and the unobserved structure of networks. We begin with an overview of the static models, and then we introduce the dynamic extensions. For each dynamic model, we also discuss its applications that have been studied in the literature, with the data source listed in Appendix. Based on the review, we summarize a list of open problems and challenges in dynamic network modeling with latent variables.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.