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一种基于广义模块化的社区检测的随机方法。

A Stochastic Approach to Generalized Modularity Based Community Detection.

作者信息

Tipton James, Langston Jordan

机构信息

Department of Mathematics, Norfolk State University, Norfolk, VA 23504, USA.

出版信息

Entropy (Basel). 2025 May 25;27(6):554. doi: 10.3390/e27060554.

DOI:10.3390/e27060554
PMID:40566141
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12191784/
Abstract

We study a stochastic approach to generalized modularity-based community detection by comparing two variants of the aforementioned approach to the standard modularity-based approach. In particular, we compare means and distributions. We also confirm that the stochastic approach can outperform standard modularity approaches.

摘要

我们通过将上述基于广义模块度的方法的两个变体与基于标准模块度的方法进行比较，研究了一种用于基于广义模块度的社区检测的随机方法。具体而言，我们比较了均值和分布。我们还证实，随机方法可以优于标准模块度方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c5b/12191784/e80b2672c75b/entropy-27-00554-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c5b/12191784/c48929725d24/entropy-27-00554-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c5b/12191784/68ce9bf2d49f/entropy-27-00554-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c5b/12191784/e80b2672c75b/entropy-27-00554-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c5b/12191784/c48929725d24/entropy-27-00554-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c5b/12191784/68ce9bf2d49f/entropy-27-00554-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c5b/12191784/e80b2672c75b/entropy-27-00554-g003.jpg

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本文引用的文献

1
MEGA: Machine Learning-Enhanced Graph Analytics for Infodemic Risk Management.MEGA：用于信息疫情风险管理的机器学习增强型图分析。
IEEE J Biomed Health Inform. 2023 Dec;27(12):6100-6111. doi: 10.1109/JBHI.2023.3314632. Epub 2023 Dec 5.
2
Stochastic blockmodels and community structure in networks.网络中的随机块模型与社区结构
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Jan;83(1 Pt 2):016107. doi: 10.1103/PhysRevE.83.016107. Epub 2011 Jan 21.
3
Local resolution-limit-free Potts model for community detection.用于社区检测的局部无分辨率限制Potts模型。
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Apr;81(4 Pt 2):046114. doi: 10.1103/PhysRevE.81.046114. Epub 2010 Apr 27.
4
Benchmark graphs for testing community detection algorithms.用于测试社区检测算法的基准图。
Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Oct;78(4 Pt 2):046110. doi: 10.1103/PhysRevE.78.046110. Epub 2008 Oct 24.
5
Statistical mechanics of community detection.社区检测的统计力学
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Jul;74(1 Pt 2):016110. doi: 10.1103/PhysRevE.74.016110. Epub 2006 Jul 18.
6
Finding community structure in very large networks.在超大型网络中寻找社区结构。
Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Dec;70(6 Pt 2):066111. doi: 10.1103/PhysRevE.70.066111. Epub 2004 Dec 6.
7
Finding and evaluating community structure in networks.在网络中寻找并评估社区结构。
Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Feb;69(2 Pt 2):026113. doi: 10.1103/PhysRevE.69.026113. Epub 2004 Feb 26.
8
Community structure in social and biological networks.社会和生物网络中的群落结构。
Proc Natl Acad Sci U S A. 2002 Jun 11;99(12):7821-6. doi: 10.1073/pnas.122653799.