13 citations · 21 across the 11 of their papers we have counts for
11 papers
Community detection for weighted bipartite networks
Huan Qing, Jingli Wang
The bipartite network appears in various areas, such as biology, sociology, physiology, and computer science. \cite{rohe2016co} proposed Stochastic co-Blockmodel (ScBM) as a tool f…
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…
Directed mixed membership stochastic blockmodel
Huan Qing, Jingli Wang
Mixed membership modeling for undirected networks has been extensively explored in network science over the past few years. Despite the substantial progress made for undirected cas…
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…
Estimating Mixed-Memberships Using the Symmetric Laplacian Inverse Matrix
Huan Qing, Jingli Wang
Mixed membership community detection is a challenging problem. In this paper, to detect mixed memberships, we propose a new method Mixed-SLIM which is a spectral clustering method…
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…
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…
Model detection and variable selection for mode varying coefficient model
Xuejun Ma, Yue Du, Jingli Wang
Varying coefficient model is often used in statistical modeling since it is more flexible than the parametric model. However, model detection and variable selection of varying coef…