自从Barabasi和Albert关于scale-free network的开山之作——《Emergence of scaling in random networks》发表以来,有关真实网络的度分布的特性引起了无数科学家的关注。原因在于,power-law属于厚尾度分布,和之前的正则网络、ER随机图网络以及WS小世界网络的度分布截然不同。其中,正则网络很特殊,全局节点度均相同;而ER...
从a中可以看到,泊松分布主要集中在平均度数附近,而在度数较小的范围里power law明显占比更大。从b中可以看到在对数坐标下,在度数较大的范围内,power law函数比泊松分布高了几个量级。由此可以说明,scale-free网络是由大量度数很小的点和少数度数很大的点组成的,而随机图是由度数相近的点组成的。图片c和d用可视...
Thus, we show that although citation distribution can look as a power-law dependence, it is not scale-free and there is a hidden dynamic scale associated with the onset of runaways. We show that our model of citation dynamics based on copying/redirection/triadic closure accounts for these ...
ANALYSIS OF A COMPLEX NETWORK OF PHYSICS CONCEPTS but a scale-free network in which the distribution P(k) of the degree k follows a power law, P(k) ~ k-u03b3 with exponent u03b3 u2248 2.41... KIM,HYUN-JOO - 《Modern Physics Letters B》 被引量: 8发表: 2012年 加载更多来源...
The analysis shows that the degree distributions of the present model can varying from the Poisson form to the power-law form with the decrease of a free parameter α . This model provides a possible mechanism for the evolution of some scale-free networks with fixed size, such as the ...
(A) The evolution of the R2-correlation to power-law degree distribution (scale-freeness) of the network over time, when it is optimised using Nash-QRE KL divergence and simulated annealing. (B) The evolution of the average Nash-QRE KL divergence of the network (−ρ) over time. (C)...
无尺度网络(Scale-Free Network)是基于关联规则的一种数理分析模型与方法,在医学研究领域如分子结构研究、功能发现、新药 … www.studa.net|基于77个网页 2. 无标度网络 它反映了顶点u(即网络中有关联的个体)的影响力。无标度网络(Scale-free network)的特征主要集中反映了集聚的集中性。
Scale-free networks, as one major class of complex networks, are characterized by a specific structural feature of power-law degree distributions. Examples... Y Wang,L Xing,H Wang - IEEE 被引量: 10发表: 2013年 Sensitivity-dependent model of protein–protein interaction networks The scale free...
Scale-free materials with heavy tails and hub atoms The scale invariance in microstructural statistics (Figs. 4 and 5) imposes intriguing characteristics on ML-generated disordered structures: “scale-free” properties on waves. Scale-free properties, which represent the power-law probabilistic distribut...
Flat-head power-law, size-independent clustering, and scaling of coevolutionary scale-free networks 来自 维普期刊专业版 喜欢 0 阅读量: 16 作者:CP Zhu,XT Liu,GU Zhi-Ming 摘要: 没有规模的拓扑学并且高聚类在一些真实网络共存,并且为种系统的尺寸保持不变.以前的模型一能给出与 selforganized 机制的...