most citedDirected degree corrected mixed membership model and estimating community memberships in directed networks

2 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SI2021

Overlapping and nonoverlapping models

Huan Qing

Consider a directed network with row communities and column communities. Previous works found that modeling directed networks in which all nodes have overlapping pr…

stat.ML20212 cited

Directed degree corrected mixed membership model and estimating community memberships in directed networks

Huan Qing

This paper considers the problem of modeling and estimating community memberships of nodes in a directed network where every row (column) node is associated with a vector determini…

stat.ME20211 cited

Impact of regularization on spectral clustering under the mixed membership stochastic block model

Huan Qing, Jingli Wang

Mixed membership community detection is a challenge problem in network analysis. To estimate the memberships and study the impact of regularized spectral clustering under the mixed…

cs.SI2020

An improved spectral clustering method for mixed membership community detection

Huan Qing, Jingli Wang

Community detection has been well studied recent years, but the more realistic case of mixed membership community detection remains a challenge. Here, we develop an efficient spect…

stat.ML20201 cited

Community Detection by Principal Components Clustering Methods

Huan Qing, Jingli Wang

Based on the classical Degree Corrected Stochastic Blockmodel (DCSBM) model for network community detection problem, we propose two novel approaches: principal component clustering…

cs.SI2020

Consistency of regularized spectral clustering in degree-corrected mixed membership model

Huan Qing, Jingli Wang

Community detection in network analysis is an attractive research area recently. Here, under the degree-corrected mixed membership (DCMM) model, we propose an efficient approach ca…