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Generative models for local network community detection
Twan van Laarhoven
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Corresponding author for this work
Research output
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peer-review
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Dive into the research topics of 'Generative models for local network community detection'. Together they form a unique fingerprint.
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Keyphrases
Community Detection
100%
Local Community Detection
100%
Generative Models
100%
Local Networks
100%
Popular
33%
Large-scale Networks
33%
Probabilistic Model
33%
Small Parts
33%
Community Structure
33%
Synthetic Data
33%
Conductance
33%
Approximation Techniques
33%
Seed Nodes
33%
Local Community Detection Algorithm
33%
Optimization Problem
33%
Stochastic Block Model
33%
Local Approximation
33%
Computer Science
Network Community
100%
Community Detection
100%
Generative Model
100%
Local Network
100%
Local Community
66%
Detection Algorithm
16%
Synthetic Data
16%
Approximation (Algorithm)
16%
Detection Method
16%
Approximation Technique
16%
Optimization Problem
16%
Model for Network
16%
Stochastic Block Model
16%
Mathematics
Community Detection
100%
Approximates
16%
Detection Method
16%
Real Data
16%
Approximation Technique
16%
Stochastics
16%
Model Block
16%
Synthetic Data
16%