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Error and attack tolerance of evolving networks with local preferential attachment

Shiwen Sun, Zhongxin Liu, Zengqiang Chen and Zhuzhi Yuan

Physica A: Statistical Mechanics and its Applications, 2007, vol. 373, issue C, 851-860

Abstract: Networks generated by local-world evolving network model display a transition from exponential network to power-law network with respect to connectivity distribution. We investigate statistical properties of the evolving networks and the responses of these networks under random errors and intentional attacks. It has been found that local world size M has great effect on the network's heterogeneity, thus leading to transitional behaviors in network's robustness against errors and attacks. Numerical results show that networks constructed with local preferential attachment mechanism can maintain the robustness of scale-free networks under random errors and concurrently improve reliance against targeted attacks on highly connected nodes.

Keywords: Complex network; Local-world; Network robustness; Error; Attack (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:373:y:2007:i:c:p:851-860

DOI: 10.1016/j.physa.2006.05.049

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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