Pages that link to "Item:Q1940773"
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The following pages link to Consistency of community detection in networks under degree-corrected stochastic block models (Q1940773):
Displaying 50 items.
- Consistent structure estimation of exponential-family random graph models with block structure (Q2295031) (← links)
- Detecting structural changes in longitudinal network data (Q2297236) (← links)
- Dynamic stochastic block models: parameter estimation and detection of changes in community structure (Q2329743) (← links)
- Consistency of spectral clustering in stochastic block models (Q2338925) (← links)
- Correction to the proof of consistency of community detection (Q2338933) (← links)
- Robust and computationally feasible community detection in the presence of arbitrary outlier nodes (Q2352734) (← links)
- Nonparametric statistics of dynamic networks with distinguishable nodes (Q2404165) (← links)
- Convexified modularity maximization for degree-corrected stochastic block models (Q2413602) (← links)
- Co-clustering separately exchangeable network data (Q2448722) (← links)
- Hierarchical clustering with discrete latent variable models and the integrated classification likelihood (Q2673349) (← links)
- Core-periphery structure in networks: a statistical exposition (Q2693378) (← links)
- Concentration and stability of community-detecting functions on random networks (Q2808834) (← links)
- Node Features Adjusted Stochastic Block Model (Q3391243) (← links)
- (Q4558517) (← links)
- Improved spectral community detection in large heterogeneous networks (Q4558564) (← links)
- Sparse Graphs Using Exchangeable Random Measures (Q4603788) (← links)
- A Block Model for Node Popularity in Networks with Community Structure (Q4607214) (← links)
- (Q4633045) (← links)
- Analysis of spectral clustering algorithms for community detection: the general bipartite setting (Q4633061) (← links)
- Community extraction in multilayer networks with heterogeneous community structure (Q4637082) (← links)
- Asymptotic distributions in affiliation networks with an increasing sequence (Q4638710) (← links)
- Oriented and degree-generated block models: generating and inferring communities with inhomogeneous degree distributions (Q4689340) (← links)
- Optimal Bipartite Network Clustering (Q4969080) (← links)
- (Q4998971) (← links)
- Detecting Overlapping Communities in Networks Using Spectral Methods (Q5027027) (← links)
- (Q5053173) (← links)
- Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks (Q5066493) (← links)
- Asymptotic distribution in affiliation finite discrete weighted networks with an increasing degree sequence (Q5076893) (← links)
- Asymptotic in undirected random graph models with a noisy degree sequence (Q5079273) (← links)
- Community detection with structural and attribute similarities (Q5107347) (← links)
- Grouped Network Vector Autoregression (Q5134484) (← links)
- Corrected Bayesian Information Criterion for Stochastic Block Models (Q5146029) (← links)
- (Q5149219) (← links)
- (Q5159420) (← links)
- Probabilistic Community Detection With Unknown Number of Communities (Q5231515) (← links)
- A spectral method for community detection in moderately sparse degree-corrected stochastic block models (Q5233186) (← links)
- Factor Models for High-Dimensional Tensor Time Series (Q5881065) (← links)
- A Bayesian State-Space Approach to Mapping Directional Brain Networks (Q5881951) (← links)
- Hierarchical Community Detection by Recursive Partitioning (Q5885119) (← links)
- Asymptotics in directed exponential random graph models with an increasing bi-degree sequence (Q5963515) (← links)
- Optimization via low-rank approximation for community detection in networks (Q5963526) (← links)
- A goodness-of-fit test for stochastic block models (Q5963527) (← links)
- Using Maximum Entry-Wise Deviation to Test the Goodness of Fit for Stochastic Block Models (Q6040696) (← links)
- Extracting brain disease‐related connectome subgraphs by adaptive dense subgraph discovery (Q6055706) (← links)
- Statistical inference for continuous‐time Markov processes with block structure based on discrete‐time network data (Q6067691) (← links)
- Subsampling spectral clustering for stochastic block models in large-scale networks (Q6071693) (← links)
- A distributed community detection algorithm for large scale networks under stochastic block models (Q6096648) (← links)
- Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations (Q6107241) (← links)
- Community network auto-regression for high-dimensional time series (Q6108298) (← links)
- Fast Network Community Detection With Profile-Pseudo Likelihood Methods (Q6110024) (← links)