Recent advances on mechanisms of network generation: community, exchangeability, and scale-free properties
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Publication:6604376
DOI10.1002/wics.1651zbMath1545.62095MaRDI QIDQ6604376
Tiandong Wang, Yanxi Hou, Zhengpin Li
Publication date: 12 September 2024
Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)
Cites Work
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- Pseudo-likelihood methods for community detection in large sparse networks
- Likelihood-based model selection for stochastic block models
- Estimating the number of communities by spectral methods
- Localising change points in piecewise polynomials of general degrees
- Optimal change point detection and localization in sparse dynamic networks
- Network Cross-Validation for Determining the Number of Communities in Network Data
- Rate-optimal graphon estimation
- Minimax rates of community detection in stochastic block models
- Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
- Detecting communities and their evolutions in dynamic social networks -- a Bayesian approach
- Convergent sequences of dense graphs. II. Multiway cuts and statistical physics
- Oracle inequalities for network models and sparse graphon estimation
- Spectral clustering and the high-dimensional stochastic blockmodel
- The method of moments and degree distributions for network models
- Large-scale estimation of random graph models with local dependence
- A preferential attachment model with random initial degrees
- Limits of dense graph sequences
- Exchangeable random measures in the plane
- Convergent sequences of dense graphs. I: Subgraph frequencies, metric properties and testing
- A state-space mixed membership blockmodel for dynamic network tomography
- Maximum likelihood estimation for social network dynamics
- Quick approximation to matrices and applications
- Representations for partially exchangeable arrays of random variables
- Estimation and prediction for stochastic blockmodels for graphs with latent block structure
- A review of dynamic network models with latent variables
- The diameter of a scale-free random graph
- Geometric graph properties of the spatial preferred attachment model
- Consistency of community detection in networks under degree-corrected stochastic block models
- Consistency of maximum-likelihood and variational estimators in the stochastic block model
- Classification and estimation in the stochastic blockmodel based on the empirical degrees
- Discrete temporal models of social networks
- Additive and multiplicative effects network models
- A statistical framework for modern network science
- Optimal rates for community estimation in the weighted stochastic block model
- A general framework for Bayes structured linear models
- Bootstrap estimators for the tail-index and for the count statistics of graphex processes
- Exponential-family models of random graphs: inference in finite, super and infinite population scenarios
- Sampling perspectives on sparse exchangeable graphs
- Sampling and estimation for (sparse) exchangeable graphs
- Degree growth rates and index estimation in a directed preferential attachment model
- Are extreme value estimation methods useful for network data?
- Matrix estimation by universal singular value thresholding
- Spatial preferential attachment networks: power laws and clustering coefficients
- Improved Bayesian inference for the stochastic block model with application to large networks
- Fitting the linear preferential attachment model
- On the asymptotic normality of estimating the affine preferential attachment network models with random initial degrees
- Consistent estimation in general sublinear preferential attachment trees
- Consistency of Hill estimators in a linear preferential attachment model
- Model-based clustering of large networks
- The degree sequence of a scale-free random graph process
- Nonstandard regular variation of in-degree and out-degree in the preferential attachment model
- Graph limits and parameter testing
- A nonparametric view of network models and Newman–Girvan and other modularities
- A Spatial Web Graph Model with Local Influence Regions
- Mixed membership stochastic blockmodels
- Emergence of Scaling in Random Networks
- Identifiability for Graphexes and the Weak Kernel Metric
- The Structure and Function of Complex Networks
- Estimation and Prediction for Stochastic Blockstructures
- Latent Space Approaches to Social Network Analysis
- Directed scale-free graphs
- Community Detection and Stochastic Block Models
- Sparse exchangeable graphs and their limits via graphon processes
- Statistical inference on random dot product graphs: a survey
- Edge Exchangeable Models for Interaction Networks
- Sparse Graphs Using Exchangeable Random Measures
- A general model of web graphs
- Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood
- Asymptotic normality of in- and out-degree counts in a preferential attachment model
- Statistical Analysis of Network Data with R
- Some Typical Properties of the Spatial Preferred Attachment Model
- Corrected Bayesian Information Criterion for Stochastic Block Models
- Variational Bayesian inference and complexity control for stochastic block models
- A spectral method for community detection in moderately sparse degree-corrected stochastic block models
- Frequentist Consistency of Variational Bayes
- Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown
- Latent Space Models for Dynamic Networks
- Random trees and general branching processes
- A Separable Model for Dynamic Networks
- A goodness-of-fit test for stochastic block models
- Fast Network Community Detection With Profile-Pseudo Likelihood Methods
- A statistical interpretation of spectral embedding: the generalised random dot product graph
- Preferential attachment with reciprocity: properties and estimation
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