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Overlapping stochastic block models with application to the French political blogosphere

https://doi.org/10.1214/10-aoas382
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Bayesian Methods for Graph Clustering
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Estimation and Prediction for Stochastic Blockmodels for Graphs with Latent Block Structure
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Moonlighting proteins
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Uncovering the overlapping community structure of complex networks in nature and society
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Mixture models and exploratory analysis in networks
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A nonparametric view of network models and Newman–Girvan and other modularities
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Community structure in social and biological networks
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Cluster Inference by Using Transitivity Indices in Empirical Graphs
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Social Structure from Multiple Networks. I. Blockmodels of Roles and Positions
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The Convergence of a Class of Double-rank Minimization Algorithms
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Spectral measures of bipartivity in complex networks
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Bayesian Approach to Network Modularity
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Multiplicative Mixture Models for Overlapping Clustering
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Motif Search in Graphs: Application to Metabolic Networks
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Discussion of the article by Handcock, Raftery and Tantrum
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Network Motifs: Simple Building Blocks of Complex Networks
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A Limited Memory Algorithm for Bound Constrained Optimization
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Statistical models for partial membership
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GOToolBox: functional analysis of gene datasets based on Gene Ontology
inferredcites →https://doi.org/10.1198/016214501753208735openalex-snapshot
Estimation and Prediction for Stochastic Blockstructures
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Latent Space Approaches to Social Network Analysis
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Identifiability of parameters in latent structure models with many observed variables
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A Survey of Statistical Network Models
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Categorical Data Analysis of Single Sociometric Relations
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Mixed membership analysis of high-throughput interaction studies: Relational data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Heterogeneous Complementarity and Team Design: The Case of Real Estate Agents
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Mixture of Experts Modelling with Social Science Applications
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Review of statistical network analysis: models, algorithms, and software
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A Generalized Bayesian Stochastic Block Model for Microbiome Community Detection
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Community detection in complex networks: From statistical foundations to data science applications
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Stochastic Blockmodels Meets Overlapping Community Detection
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A Bayesian Overlapping Stochastic Block Model for Clustering Biographical Networks
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From Non-overlapping to Overlapping Communities
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Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks
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A Rough Connectedness Algorithm for Mining Communities in Complex Networks
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A Spectral Algorithm with Additive Clustering for the Recovery of Overlapping Communities in Networks
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The dynamic random subgraph model for the clustering of evolving networks
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Modeling Community Structure and Topics in Dynamic Text Networks
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Community detection in multiplex continous weighted nodes networks using an extension of the stochastic block model
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A hidden challenge of link prediction: which pairs to check?
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Weighted stochastic block model
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Community detection in attributed networks using neighborhood information
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Detection of structurally homogeneous subsets in graphs
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Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models
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The stochastic topic block model for the clustering of vertices in networks with textual edges
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Multiple change points detection and clustering in dynamic networks
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Optimal Bayesian estimators for latent variable cluster models
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Characterization of topic-based online communities by combining network data and user generated content
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Learning from missing data with the binary latent block model
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Identifiability and parameter estimation of the overlapped stochastic co-block model
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Embedded topics in the stochastic block model
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The Deep Latent Position Block Model for Block Clustering and Latent Representation of Nodes in Networks
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Model-based clustering for random hypergraphs
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Clustering by deep latent position model with graph convolutional network
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Overlapping Community Detection in Networks via Sparse Spectral Decomposition
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Variational algorithms for biclustering models
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A link clustering based overlapping community detection algorithm
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An efficient algorithm for community mining with overlap in social networks
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Overlapping community detection with least replicas in complex networks
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A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks
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Double instrumental variable estimation of interaction models with big data
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Maximum likelihood estimation of sparse networks with missing observations
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Finding overlapping community from social networks based on community forest model
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Robust stochastic block model
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Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure
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An improved label propagation algorithm using average node energy in complex networks
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Community detection algorithm evaluation with ground-truth data
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Node copying: A random graph model for effective graph sampling
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Network perturbation aggregation for graphon estimation
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A spectral algorithm with additive clustering for the recovery of overlapping communities in networks
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Model-Based Clustering and Classification for Data Science
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Preface
inferred← citeshttps://doi.org/10.1017/9781108644181.002openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1017/9781108644181.003openalex-snapshot
Model-based Clustering: Basic Ideas
inferred← citeshttps://doi.org/10.1017/9781108644181.004openalex-snapshot
Dealing with Difficulties
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Model-based Classification
inferred← citeshttps://doi.org/10.1017/9781108644181.006openalex-snapshot
Semi-supervised Clustering and Classification
inferred← citeshttps://doi.org/10.1017/9781108644181.007openalex-snapshot
Discrete Data Clustering
inferred← citeshttps://doi.org/10.1017/9781108644181.008openalex-snapshot
Variable Selection
inferred← citeshttps://doi.org/10.1017/9781108644181.009openalex-snapshot
High-dimensional Data
inferred← citeshttps://doi.org/10.1017/9781108644181.010openalex-snapshot
Non-Gaussian Model-based Clustering
inferred← citeshttps://doi.org/10.1017/9781108644181.011openalex-snapshot
Network Data
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Model-based Clustering with Covariates
inferred← citeshttps://doi.org/10.1017/9781108644181.013openalex-snapshot
Other Topics
inferred← citeshttps://doi.org/10.1017/9781108644181.014openalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1017/9781108644181.015openalex-snapshot
Author Index
inferred← citeshttps://doi.org/10.1017/9781108644181.016openalex-snapshot
Subject Index
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Mixed-membership of experts stochastic blockmodel
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Properties of latent variable network models
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Role detection in bicycle-sharing networks using multilayer stochastic block models
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Structural Equation Modeling of Social Networks: Specification, Estimation, and Application
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Variational Inference for Stochastic Block Models From Sampled Data
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Hierarchical Network Models for Exchangeable Structured Interaction Processes
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Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts
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Estimation in a binomial stochastic blockmodel for a weighted graph by a variational expectation maximization algorithm
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Network inference and community detection, based on covariance matrices, correlations, and test statistics from arbitrary distributions
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A Bayesian Allocation Model Based Approach to Mixed Membership Stochastic Blockmodels
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Goodness of Fit of Logistic Regression Models for Random Graphs
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Overlapping community detection in networks with positive and negative links
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MiCoDe: a web tool for performing microbiome community detection using a Bayesian weighted stochastic block model
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Modeling sparsity in count-weighted networks with stochastic block models
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Identification of taxon through classification with partial reject options
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Comodularity and detection of co-communities
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Mixing patterns and individual differences in networks
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Understanding digitally enabled complex networks: a plural granulation based hybrid community detection approach
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Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions
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A Hidden Challenge of Link Prediction: Which Pairs to Check?
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Social Network De-anonymization with Overlapping Communities: Analysis, Algorithm and Experiments
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Overlapping Community Detection Versus Ground-Truth in AMAZON Co-Purchasing Network
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Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis
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Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks
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A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
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De-Anonymizing Social Networks With Overlapping Community Structure
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Measuring Social Network De-Anonymizability by Means of Morphism Property
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Community Detection With Known, Unknown, or Partially Known Auxiliary Latent Variables
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Distributed Community Detection on Overlapping Stochastic Block Model
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Overlapping community detection in complex networks using fuzzy theory, balanced link density, and label propagation
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Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic
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New Consistent and Asymptotically Normal Parameter Estimates for Random-Graph Mixture Models
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The Influence ofEliteNetworks on Green Policy Making
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Hypothesis Testing for Automated Community Detection in Networks
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Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities
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Degree‐based goodness‐of‐fit tests for heterogeneous random graph models: Independent and exchangeable cases
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The deep latent position topic model for clustering and representation of networks with textual edges
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Multi‐subject stochastic blockmodels with mixed effects for adaptive analysis of individual differences in human brain network cluster structure
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Community Detection for Weighted Networks with Unknown Number of Communities
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Overlapping Clustering Based Technique for Scalable Uncertainty Quantification in Physical Systems
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Ubiquitousness of link-density and link-pattern communities in real-world networks
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Link community detection based on ensemble learning
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SSPCO: A new particle propagation model for community detection in complex network
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Convergence and asymptotic freeness of missing data matrices
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Overlapping community detection in networks
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Sensing overlapping geospatial communities from human movements using graph affiliation generation models
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TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction
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Model-Based Clustering
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Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood
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Dynamic degree-corrected blockmodels for social networks: A nonparametric approach
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Detecting local network motifs
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The random subgraph model for the analysis of an ecclesiastical network in Merovingian Gaul
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Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
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Model selection in overlapping stochastic block models
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Detection of epigenomic network community oncomarkers
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Co-clustering of nonsmooth graphons
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Consistent community detection in multi-relational data through restricted multi-layer stochastic blockmodel
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Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel
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Heterogeneous Complementarity and Team Design: The Case of Real Estate Agents
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Stochastic Blockmodeling of the Modules and Core of the Caenorhabditis elegans Connectome
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A degree-based block model and a local expansion optimization algorithm for anti-community detection in networks
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Deep latent position model for node clustering in graphs
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Convergence of the groups posterior distribution in latent or stochastic block models
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Spectral Bridges
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Maximum likelihood estimation in dynamic or spatial stochastic block models
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Estimation de la structure de dépendance en grande dimension via des modèles de graphes aléatoires : applications au suivi et à l'optimisation des contrôles en production
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Stochastics blockmodels, classifications and applications
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Integrating prior knowledge into unsupervised learning for railway transportation
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Statistical Learning of Collections of Networks with Applications in Ecology and Sociology
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Contributions to stochastic bandits and link prediction problems
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From stratification to prediction : multimodal machine learning with latent block models and mixtures of experts
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Impact of sampling on structure inference in networks : application to seed exchange networks and to ecology
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Random graph clustering for collaborative filtering
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An empirical Bayes approach to stochastic blockmodels and graphons: shrinkage estimation and model selection
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