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scientific article; zbMATH DE number 7307464

Language	Label	Description	Also known as
English	No label defined	scientific article; zbMATH DE number 7307464

Statements

scholarly article

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publication date

8 February 2021

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full work available at URL

https://arxiv.org/abs/2008.03820

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https://jmlr.csail.mit.edu/papers/v21/18-581.html

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zbMATH Keywords

directed networks

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community detection

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clustering

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degree-corrected block model

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k-means

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principle component analysis

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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Proof of the Achievability Conjectures for the General Stochastic Block Model

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On semidefinite relaxations for the block model

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Pseudo-likelihood methods for community detection in large sparse networks

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A nonparametric view of network models and Newman–Girvan and other modularities

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Hypothesis Testing for Automated Community Detection in Networks

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Network Cross-Validation for Determining the Number of Communities in Network Data

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Improved Graph Clustering

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Convexified modularity maximization for degree-corrected stochastic block models

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Approximation, Randomization, and Combinatorial Optimization.. Algorithms and Techniques

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A Survey of Statistical Network Models

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A spectral method for community detection in moderately sparse degree-corrected stochastic block models

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Matrix Analysis

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Coauthorship and citation networks for statisticians

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Fast community detection by SCORE

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Impact of regularization on spectral clustering

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Consistency of spectral clustering in stochastic block models

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Clustering and community detection in directed networks: a survey

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Consistency thresholds for the planted bisection model

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A proof of the block model threshold conjecture

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Role models for complex networks

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Spectral clustering and the high-dimensional stochastic blockmodel

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Co-clustering directed graphs to discover asymmetries and directional communities

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A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs

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An Introduction to Matrix Concentration Inequalities

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Stochastic Blockmodels for Directed Graphs

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Detecting communities and their evolutions in dynamic social networks -- a Bayesian approach

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A useful variant of the Davis–Kahan theorem for statisticians

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Consistency of community detection in networks under degree-corrected stochastic block models

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Identifiers

Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:5149219

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