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20202022
most citedCommunity detection for weighted bipartite networks

13 citations · 32 across the 14 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

cs.SI2021

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…

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…

cs.SI2021

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…

cs.SI2021

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…

cs.LG2021★ 7 cited

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…

stat.ML2021★ 2 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.ML2021★ 13 cited

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…

stat.ME2021★ 1 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…

stat.ML2021★ 3 cited

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…