2 citations · 5 across the 7 of their papers we have counts for
8 papers
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…
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…
Mixed-SCORE+ for mixed membership community detection
Huan Qing, Jingli Wang
Mixed-SCORE is a recent approach for mixed membership community detection proposed by Jin et al. (2017) which is an extension of SCORE (Jin, 2015). In the note Jin et al. (2018), t…
An improved spectral clustering method for community detection under the degree-corrected stochastic blockmodel
Huan Qing, Jingli Wang
For community detection problem, spectral clustering is a widely used method for detecting clusters in networks. In this paper, we propose an improved spectral clustering (ISC) app…
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…
Dual regularized Laplacian spectral clustering methods on community detection
Huan Qing, Jingli Wang
Spectral clustering methods are widely used for detecting clusters in networks for community detection, while a small change on the graph Laplacian matrix could bring a dramatic im…