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Application of Community Detection Methods to Identify Emergency General Surgery-Specific Regional Networks.

JAMA Netw Open
Han J, Wan N, Horns JJ, McCrum ML.
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Graph Regularized Nonnegative Matrix Factorization for Community Detection in Attributed Networks

IEEE Transactions on Network Science and Engineering, 2023
Community detection has become an important research topic in machine learning due to the proliferation of network data. However, most existing methods have been developed based on only exploiting the topology structures of the network, which can result ...
K. Berahmand, Mehrnoush Mohammadi, Farid Saberi-Movahed, Yuefeng Li, Yue Xu   +4 more
semanticscholar   +1 more source

Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis

IEEE Transactions on Neural Networks and Learning Systems, 2021
Community detection is a popular yet thorny issue in social network analysis. A symmetric and nonnegative matrix factorization (SNMF) model based on a nonnegative multiplicative update (NMU) scheme is frequently adopted to address it.
Xin Luo, Zhigang Liu, Long Jin, Yue Zhou, Mengchu Zhou   +4 more
semanticscholar   +1 more source

Evolutionary Markov Dynamics for Network Community Detection

IEEE Transactions on Knowledge and Data Engineering, 2022
Community structure division is a crucial problem in the field of network data analysis. Algorithms based on Markov chains are easy to use and provide promising solutions for community detection.
Zhen Wang, Chunyu Wang, Xianghua Li, Chao Gao, Xuelong Li, Junyou Zhu   +5 more
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A classification of community detection methods in social networks: a survey

International Journal of General Systems, 2021
The detection of community structures is a crucial research area. The problem of community detection has received considerable attention from a large portion of the scientific community and a very large number of papers has already been published in the ...
Angelo Sifaleras
exaly   +2 more sources

Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization

IEEE Transactions on Network Science and Engineering, 2021
Community detection, aiming at determining correct affiliation of each node in a network, is a critical task of complex network analysis. Owing to its high efficiency, Symmetric and Non-negative Matrix Factorization (SNMF) is frequently adopted to handle
Xin Luo, Zhigang Liu, Mingsheng Shang, Jungang Lou, Mengchu Zhou   +4 more
semanticscholar   +1 more source

Stable Community Detection in Signed Social Networks

IEEE Transactions on Knowledge and Data Engineering, 2022
Community detection is one of the most fundamental problems in social network analysis, while most existing research focuses on unsigned graphs. In real applications, social networks involve not only positive relationships but also negative ones.
Renjie Sun, Chen Chen, Xiaoyang Wang, Ying Zhang, Xun Wang   +4 more
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Community Detection in Graph: An Embedding Method

IEEE Transactions on Network Science and Engineering, 2022
In the real world, understanding and discovering community structures of networks are significant in exploring network behaviors and functions. In addition to the effect of the closeness of edges on community detection, the node similarity and structural
Junyou Zhu, Chunyu Wang, Chao Gao, Fan Zhang, Zhen Wang, Xuelong Li   +5 more
semanticscholar   +1 more source

Community Detection with Fuzzy Community Structure

2011 International Conference on Advances in Social Networks Analysis and Mining, 2011
In order to find a cover which allows nodes to be shared among several communities, we propose a simple fuzzy community detection algorithm, which is based on an existing partition detection technique. For the performance of overlapping nodes that makes the partition ambiguous, a new extended modularity is introduced to qualify covers.
Wang, Qinna, Fleury, Eric
openaire   +2 more sources

Covariate-Assisted Community Detection in Multi-Layer Networks

Journal of Business & Economic Statistics, 2022
Communities in multi-layer networks consist of nodes with similar connectivity patterns across all layers. This article proposes a tensor-based community detection method in multi-layer networks, which leverages available node-wise covariates to improve ...
Shi Xu, Yao Zhen, Junhui Wang
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