law data, such as least-squares fitting, can produce substantially inaccurate estimates of parameters for power-law distributions, and even in cases where such methods return accurate answers they are still unsatisfactory because they give no indication of whether the data obey a power law at all....
Power-LawDistributionsinEmpiricalData 系统标签: distributionspowerlawempiricaldatalaws Power-law distributions in empirical data Aaron Clauset, 1, 2 Cosma Rohilla Shalizi, 3 and M. E. J. Newman 1, 4 1 Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA 2 Department of Computer...
系统标签: law distributions power empirical data clauset a r X i v : 0 7 0 6 . 1 0 6 2 v 2 [ p h y s i c s . d a t a - a n ] 2 F e b 2 0 0 9 POWER-LAWDISTRIBUTIONSINEMPIRICALDATA AARONCLAUSET ∗ ,COSMAROHILLASHALIZI † ,ANDM.E.J.NEWMAN ‡ Abstract.Power...
Power-law distributions in empirical data-英文文献.pdf,Power-law distributions in empirical data Aaron Clauset,1,2 Cosma Rohilla Shalizi,3 and M. E. J. Newman4 1Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA 2 Department of Computer Sci
We also apply the proposed methods to twenty-four real-world data sets from a range of different disciplines, each of which has been conjectured to follow a power-law distribution. In some cases we find these conjectures to be consistent with the data while in others the power law is ...
2, especially between the truncatedpower-law and the lognormal distribution. We use the loglikelihood ratio tofurther compare these two candidate distributions. The loglikelihood ratiois positive if the data is more likely in the power-law distribution, andnegative if the data is more likely in ...
当然,复杂系统也不能点石为金,将幂律分布数据变成正态分布数据、而是用整个一套完全不同的思想和方法来看变量的分布和变量之间的关系。(参见A. Clauset, C.R. Shalizi, and M.E.J. Newman, "Power-law distributions in empirical data"SIAM Review, 2009)。
power-law distribution. In some cases we find these conjectures to be consistent with the data ...
power-law distribution. In some cases we find these conjectures to be consistent with the data ...
The probability distribution of number of ties of an individual in a social network follows a scale-free power-law. However, how this distribution arises has not been conclusively demonstrated in direct analyses of people's actions in social networks. He