Key Node Recognition Based on Community Discovery

Author:

Zhu Xianwei1ORCID,Liu Wei1ORCID,Gu Zeyu1ORCID,Liu zihao1ORCID

Affiliation:

1. China electronics technology design and research institute, China

Publisher

ACM

Reference12 articles.

1. Networks and geography: Modelling community network structures as the outcome of both spatial and network processes

2. XING F, WANG W. Understanding dynamic denial of service attacks in mobile ad hoc networks . IEEE Military Communications Conference. MILCOM 2006 .Washington, DC: IEEE, 2006 : 1 − 7. XING F, WANG W. Understanding dynamic denial of service attacks in mobile ad hoc networks. IEEE Military Communications Conference. MILCOM 2006.Washington, DC: IEEE, 2006: 1 − 7.

3. Newman M E . Fast algorithm for detecting community structure in networks. Phys Rev E Stat Nonlin Soft Matter Phys, 69(6 Pt 2):066133 . 2004 . Newman M E. Fast algorithm for detecting community structure in networks. Phys Rev E Stat Nonlin Soft Matter Phys, 69(6 Pt 2):066133. 2004.

4. GIRVANM, NEWMANMEJ. Community structure in social and biological networks , Retrieved January 1, 2023 from https://arxiv.org/pdf/cond-mat/0112110.pdf. GIRVANM, NEWMANMEJ. Community structure in social and biological networks, Retrieved January 1, 2023 from https://arxiv.org/pdf/cond-mat/0112110.pdf.

5. Zhang X , Fang R , Zhang G , Research on transformer fault diagnosis: Based on improved firefly algorithm optimized LPboost-classification and regression tree. IET generation, transmission & distribution , 2022 (3):16. 2021. Zhang X , Fang R , Zhang G , Research on transformer fault diagnosis: Based on improved firefly algorithm optimized LPboost-classification and regression tree. IET generation, transmission & distribution, 2022(3):16. 2021.

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