1) power-law degree distribution
幂率度分布
1.
Damage spreading on the random graphs with power-law degree distributions is investigated using Glauber dynamics.
研究具有幂率度分布的随机图上的损伤扩散。
2) power-law distribution
幂率分布
1.
A common property of many large networks is that the vertex degrees follow a scale-free power-law distribution, The BA model features two generic mechanisms: the networks expanding and the pref.
实际网络中节点分布的一个广泛特征是度的无标度幂率分布,BA模型认为形成这种特征的两个主要因素是网络增长和节点间的偏好连接。
2.
Numerical simulations indicate that this network model yields three power-law distributions of the node degrees,node strengths and connection weights.
许多实证复杂网络的度分布和点权分布表现为低头和胖尾的幂率分布。
3) power-law distribution
幂律分布
1.
Relation between Correlation and Power-law Distribution of Multiscale for Chinese Stock Market;
中国股市多标度的幂律分布与相关性关联研究
2.
It is thought that the loose slope itself evolves towards the critical state,and the evolution features present two kinds of different kinetics actions:for uniform-granule loose slope,its large scale avalanches obeying quasi-cycle distribution,for non-uniform-granule loose slope,its avalanches obeying power-law distribution,and arising self-organization criticality .
认为松散边坡自发地向临界状态演化 ,其演化特征表现为两种不同的动力学行为 :对于颗粒均匀的松散边坡 ,其大规模的坍塌呈现准周期分布 ,而颗粒不均匀的松散边坡 ,坍塌的规模服从幂律分布 ,出现自组织临界性。
3.
By analyzing degree distribution properties in the topology,the inherent power-law distribution.
分析了AS级拓扑的度分布属性,分析结果显示生成的拓扑具有幂律分布特性。
4) power law
幂律分布
1.
Based on the computation to the model of statistics, we found out that these indexes obey the power law approximatively on different scales, they are the reflections of the distributions and evolving characters of the social and economical phenomena on the Web.
通过统计模型计算发现,这些以网民/网页使用的语言为分类的指标,在不同尺度上近似地遵守幂律分布,反映了网络世界中社会、经济现象的分布与演化特征。
2.
The characteristics of power law of non-scale network are applied to improve the structured P2P overlay.
利用无标度网络的幂律分布特性对结构化P2P覆盖网进行改进,提出基于幂律分布的BAChord模型,利用节点的连接度和物理邻接度的信息,使覆盖网与物理拓扑结构之间能够达到一定程度的匹配,增加路由过程中发现连接短链的概率。
5) power distribution
幂分布
1.
In this paper,the formula of Expect Bayes estimation of the reliability under entropy loss function for geometric distribution have been given,when the prior distribution of the reliability is power distribution and βdistribution.
研究几何分布可靠度的先验分布分别为β分布和幂分布时,在熵损失函数下给出了可靠度的EB估计,并结合实际数据比较了两种先验分布下估计值的精度。
2.
In this paper,for negative Binomial distribution,the Bayesian estimation of reliability under entropy loss function is given,and on the base,the E-Bayesian estimation and hierarchical Bayesian estimation of θ are given when the prior distribution of θ is power distribution.
对负二项分布,给出可靠度在熵损失函数下的Bayes估计,在此基础上给出当先验分布为幂分布时,可靠度的E-Bayes估计和多层Bayes估计,并设计了相应的数值实验,实验结果表明负二项分布可靠度的E-Bayes估计较多层Bayes估计稳健性更好,计算更简单,便于实际应用。
6) power-law
幂律分布
1.
Recent progress on power-law distributions in financial market fluctuations;
金融市场中幂律分布的经验和理论研究进展——经济物理学研究的一个前沿
2.
A novel approach to local vaccination of P2P networks with power-law node degree distributions;
针对节点度幂律分布对等覆盖网络的分散式目标免疫
补充资料：电导率(见电阻率)
电导率(见电阻率)
conductivity
d!日nd日O}已电导率(eonduetivity)见电阻率。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条