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CLC number: N94; TP393

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Received: 2008-05-01

Revision Accepted: 2008-08-17

Crosschecked: 0000-00-00

Cited: 3

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Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE A 2008 Vol.9 No.10 P.1336-1340


Cascading failures in local-world evolving networks

Author(s):  Zhe-jing BAO, Yi-jia CAO

Affiliation(s):  School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   zjbao.zju@gmail.com

Key Words:  Complex network, Local world (LW), Cascading failures, Power-law, Attack

Zhe-jing BAO, Yi-jia CAO. Cascading failures in local-world evolving networks[J]. Journal of Zhejiang University Science A, 2008, 9(10): 1336-1340.

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author="Zhe-jing BAO, Yi-jia CAO",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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T1 - Cascading failures in local-world evolving networks
A1 - Zhe-jing BAO
A1 - Yi-jia CAO
J0 - Journal of Zhejiang University Science A
VL - 9
IS - 10
SP - 1336
EP - 1340
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A0820336

The local-world (LW) evolving network model shows a transition for the degree distribution between the exponential and power-law distributions, depending on the LW size. cascading failures under intentional attacks in LW network models with different LW sizes were investigated using the cascading failures load model. We found that the LW size has a significant impact on the network’s robustness against deliberate attacks. It is much easier to trigger cascading failures in LW evolving networks with a larger LW size. Therefore, to avoid cascading failures in real networks with local preferential attachment such as the Internet, the World Trade Web and the multi-agent system, the LW size should be as small as possible.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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