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Efficiently inferring community structure in bipartite networks

Efficiently inferring community structure in bipartite networks

12 March 2014
D. Larremore
A. Clauset
Abigail Z. Jacobs
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Papers citing "Efficiently inferring community structure in bipartite networks"

5 / 5 papers shown
Title
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models
Kazuki Nakajima
Takeaki Uno
43
0
0
01 Jan 2024
Efficient High-Quality Clustering for Large Bipartite Graphs
Efficient High-Quality Clustering for Large Bipartite Graphs
Renchi Yang
Jieming Shi
13
6
0
28 Dec 2023
Descriptive vs. inferential community detection in networks: pitfalls,
  myths, and half-truths
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths
Tiago P. Peixoto
22
44
0
30 Nov 2021
The ground truth about metadata and community detection in networks
The ground truth about metadata and community detection in networks
Leto Peel
D. Larremore
A. Clauset
30
442
0
20 Aug 2016
A unified view of generative models for networks: models, methods,
  opportunities, and challenges
A unified view of generative models for networks: models, methods, opportunities, and challenges
Abigail Z. Jacobs
A. Clauset
47
31
0
14 Nov 2014
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