Community detection in signed networks by relaxing modularity optimization with orthogonal and nonnegative constraints-Reference-Cited by-同舟云学术

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Community detection in signed networks by relaxing modularity optimization with orthogonal and nonnegative constraints

Published:2019-11-06 Issue:14 Volume:32 Page:10645-10654
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zhang Yunfei,Liu Yuyan,Ma Xiaomeng,Song Jie

Funder

Joint Funding Project for Basic Research of Yunnan Local Undergraduate Universities

National Science Foundation for Post-doctoral Scientists of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-019-04597-9.pdf

Reference41 articles.

1. Palla G, Barabási A-L, Vicsek T (2007) Quantifying social group evolution. Nature 446(7136):664–667

2. Traud AL, Kelsic ED, Mucha PJ, Porter MA (2011) Comparing community structure to characteristics in online collegiate social networks. SIAM Rev 53(3):526–543

3. Flake GW, Lawrence SR, Giles CL, Coetzee FM (2002) Self-organization and identification of web communities. IEEE Comp 35(3):66–70

4. Guimerà R, Nunes Amaral LA (2005) Functional cartography of complex metabolic networks. Nature 433(7028):895–900

5. Palla G, Derényi I, Farkas I, Vicsek T (2005) Uncovering the overlapping community structure of complex networks in nature and society. Nature 435:814–818

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2. Evaluation for Risk of Cascading Failures in Power Grids by Inverse-Community Structure;IEEE Internet of Things Journal;2023-05-01

3. Modularity, balance, and frustration in student social networks: The role of negative relationships in communities;PLOS ONE;2022-12-08

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