13 citations · 32 across the 14 of their papers we have counts for
15 papers
Estimating the number of communities in weighted networks
Huan Qing
Community detection in weighted networks has been a popular topic in recent years. However, while there exist several flexible methods for estimating communities in weighted networ…
Bipartite mixed membership distribution-free model. A novel model for community detection in overlapping bipartite weighted networks
Huan Qing, Jingli Wang
Modeling and estimating mixed memberships for overlapping unipartite un-weighted networks has been well studied in recent years. However, to our knowledge, there is no model for a…
Overlapping community detection in weighted networks
Huan Qing
Over the past decade, community detection in overlapping un-weighted networks, where nodes can belong to multiple communities, has been one of the most popular topics in modern net…
Mixed membership distribution-free model
Huan Qing, Jingli Wang
We consider the problem of community detection in overlapping weighted networks, where nodes can belong to multiple communities and edge weights can be finite real numbers. To mode…
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…
Degree-corrected distribution-free model for community detection in weighted networks
Huan Qing
A degree-corrected distribution-free model is proposed for weighted social networks with latent structural information. The model extends the previous distribution-free models by c…
Distribution-Free Model for Community Detection
Huan Qing
Community detection for unweighted networks has been widely studied in network analysis, but the case of weighted networks remains a challenge. This paper proposes a general Distri…
A useful criterion on studying consistent estimation in community detection
Huan Qing
In network analysis, developing a unified theoretical framework that can compare methods under different models is an interesting problem. This paper proposes a partial solution to…
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…
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…
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…
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…