research
∙
09/21/2021
Consistency of spectral clustering for directed network community detection
Directed networks appear in various areas, such as biology, sociology, p...
share
research
∙
07/30/2021
Impact of regularization on spectral clustering under the mixed membership stochastic block model
Mixed membership community detection is a challenge problem in network a...
research
∙
01/07/2021
Bipartite mixed membership stochastic blockmodel
Mixed membership problem for undirected network has been well studied in...
research
∙
12/17/2020
Estimating mixed-memberships using the Symmetric Laplacian Inverse Matrix
Community detection has been well studied in network analysis, and one p...
research
∙
12/07/2020
Mixed-SCORE+ for mixed membership community detection
Mixed-SCORE is a recent approach for mixed membership community detectio...
research
∙
11/23/2020
Estimating network memberships by mixed regularized spectral clustering
Mixed membership community detection is a challenge problem in network a...
research
∙
11/12/2020
An improved spectral clustering method for community detection under the degree-corrected stochastic blockmodel
For community detection problem, spectral clustering is a widely used me...
research
∙
11/09/2020
Dual regularized Laplacian spectral clustering methods on community detection
Spectral clustering methods are widely used for detecting clusters in ne...
research
∙
11/09/2020
Community Detection by Principal Components Clustering Methods
Based on the classical Degree Corrected Stochastic Blockmodel (DCSBM) mo...
research
∙
09/22/2020