A unified method of detecting core-periphery structure and community structure in networks-Reference-Cited by-同舟云学术

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A unified method of detecting core-periphery structure and community structure in networks

Published:2018-01 Issue:1 Volume:28 Page:013122
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Xiang Bing-Bing¹,Bao Zhong-Kui¹,Ma Chuang¹^ORCID,Zhang Xingyi²,Chen Han-Shuang³,Zhang Hai-Feng¹⁴⁵

Affiliation:

1. School of Mathematical Science, Anhui University, Hefei 230601, People's Republic of China

2. Institute of Bio-inspired Intelligence and Mining Knowledge, School of Computer Science and Technology, Anhui University, Hefei 230601, China

3. School of Physics and Material Science, Anhui University, Hefei 230601, China

4. Center of Information Support and Assurance Technology, Anhui University, Hefei 230601, China

5. Department of Communication Engineering, North University of China, Taiyuan, Shan'xi 030051, China

Funder

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4990734

Reference56 articles.

2. Community structure in social and biological networks

3. Finding and evaluating community structure in networks

4. Community detection in graphs

5. Community detection in large‐scale networks: a survey and empirical evaluation

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2. Core–Periphery Detection Based on Masked Bayesian Nonnegative Matrix Factorization;IEEE Transactions on Computational Social Systems;2024-06

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