Community Detection in Complex Networks Using Nonnegative Matrix Factorization and Density-Based Clustering Algorithm-Reference-Cited by-同舟云学术

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Community Detection in Complex Networks Using Nonnegative Matrix Factorization and Density-Based Clustering Algorithm

Published:2020-01-07 Issue:2 Volume:51 Page:1731-1748
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Lu Hong^ORCID,Zhao Qinghua,Sang Xiaoshuang,Lu Jianfeng^ORCID

Funder

Jiangsu Natural Science Foundation

the National Natural Science Foundation of China

the 111 Project

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-019-10170-1.pdf

Reference48 articles.

1. Girvan M, Newman ME (2002) Community structure in social and biological networks. Proc Natl Acad Sci 99(12):7821–7826

2. Lu H, Zhu X, Liu H, Skogerbøphi G, Zhang J, Zhang Y, Bu D (2004) The interactome as a tree—an attempt to visualize the protein–protein interaction network in yeast. Nucleic Acids Res 32(16):4804–4811

3. Leskovec J, Lang KJ, Dasgupta A et al (2009) Community structure in large networks: natural cluster sizes and the absence of large well-defined clusters. Internet Math 6(1):29–123

4. Newman M (2018) Networks. Oxford University Press, Oxford

5. Newman ME (2004) Fast algorithm for detecting community structure in networks. Phys Rev E 69(6):066133

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