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分层抽样的无标度复杂网络可靠性度量算法
引用本文:齐灿,邓雪莲. 分层抽样的无标度复杂网络可靠性度量算法[J]. 计算机工程与应用, 2012, 48(26): 88-92
作者姓名:齐灿  邓雪莲
作者单位:1.桂林航天工业学院 信息工程系,广西 桂林 5410042.广西中医药大学 图书馆 信息部,南宁 530001
摘    要:针对大型无标度复杂网络的幂律分布特性,提出了一种基于分层抽样技术的算法SSBA,通过分析样本网络推导出大型无标度复杂网络的可靠性度量参数,并给出这些参数的Bootstrap置信区间。大量的实验表明,SSBA算法能有效估算出大型无标度复杂网络的可靠性度量参数。

关 键 词:无标度复杂网络  复杂网络可靠性  可靠性度量  分层抽样方法  置信区间  

Algorithm of reliability measures of scale-free complex networks based on stratified sampling method
QI Can , DENG Xuelian. Algorithm of reliability measures of scale-free complex networks based on stratified sampling method[J]. Computer Engineering and Applications, 2012, 48(26): 88-92
Authors:QI Can    DENG Xuelian
Affiliation:1.Department of Information Engineering, Guilin Aerospace Technology College, Guilin, Guangxi 541004, China2.Department of Information, the Library, Guangxi Traditional Chinese Medical University, Nanning 530001, China
Abstract:According to power-law distribution characteristic of scale-free complex networks,an algorithm based on stratified sampling(SSBA)is proposed,which can compute the reliability measures of a large scale-free complex network 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 SSBA is efficient in estimating the reliability measures of large scale-free complex networks.
Keywords:scale-free complex networks  reliability of complex networks  reliability measures  stratified sampling method  confidence intervals
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