Applications of dual regularized Laplacian matrix for community detection

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Clustering in the social and behavioral sciences (91C20) Applications of statistics to social sciences (62P25)

Cites Work

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Pseudo-likelihood methods for community detection in large sparse networks
Likelihood-based model selection for stochastic block models
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Impact of regularization on spectral clustering
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Partitioning networks based on generalized concepts of equivalence
Multi-Scale attributed node embedding
Detecting Overlapping Communities in Networks Using Spectral Methods
Community Detection in Sparse Networks Using the Symmetrized Laplacian Inverse Matrix (SLIM)
Collective dynamics of ‘small-world’ networks
Optimal Estimation of the Number of Network Communities
Co-citation and Co-authorship Networks of Statisticians

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