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基于抽样的复杂网络可靠性度量算法
引用本文:邓雪莲,王力虎. 基于抽样的复杂网络可靠性度量算法[J]. 计算机工程与设计, 2008, 29(1): 72-75
作者姓名:邓雪莲  王力虎
作者单位:广西师范大学,物理与电子工程学院,广西,桂林,541004;广西师范大学,物理与电子工程学院,广西,桂林,541004
摘    要:提出了一种基于抽样技术的算法ABS,通过分析从大型复杂网络中抽样所得到的样本网络,推导出大型复杂网络的可靠性度量参数,同时还给出这些参数的 Bootstrap 置信区间.大量的实验表明,ABS 算法在估算大型复杂网络的可靠性度量参数方面是有效的、可行的.

关 键 词:复杂网络  复杂网络可靠性  可靠性度量  抽样方法  置信区间
文章编号:1000-7024(2008)01-0072-04
收稿时间:2007-01-08
修稿时间:2007-01-08

Algorithm of reliability measures of complex networks based on sampling
DENG Xue-lian,WANG Li-hu. Algorithm of reliability measures of complex networks based on sampling[J]. Computer Engineering and Design, 2008, 29(1): 72-75
Authors:DENG Xue-lian  WANG Li-hu
Abstract:An algorithm based on sampling(ABS) is proposed,which can compute the reliability measures of a large-scale complex networks by the analysis of a sample networks drawn from it.The bootstrap-based confidence intervals for these reliability measures are also given.Extensive experiments show that ABS is efficient in estimating the reliability measures of large-scale complex networks.
Keywords:complex networks   reliability of complex networks   reliability measures   sampling method   confidence intervals
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