因为它是拉伸,力量和荣耀:文献计量学作为松弛动力学的一个分支

J. Chen
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引用次数: 0

摘要

一个形式为f(x) = exp(-x^β), x∈[0,∞),β∈(0,1]的拉伸指数函数,表征了称为Kohlrausch-Williams-Watts (KWW)过程的衰减,扩散和弛豫现象。最近的工作,特别是关于金属玻璃的弛豫动力学,已经描述了形状参数β偏离其通常值的情况。式中β >1、对应的指数函数是压缩而不是拉伸的。β-广义指数函数为法律学术界影响力的两个衡量指标:法律评论影响因子和社会科学研究网络(SSRN)的人均下载量提供了良好的参数拟合。拉伸指数函数模型从2007年到2019年的影响因素。一个压缩的指数函数描述了每个法学院作者的SSRN下载量,除了排名靠前的一个异常值。幂律分布符合SSRN数据,但仅适用于前100所商学院。指数β的值跨越1的值,这是一个普通指数函数的特征,这并不是一个简单的人工制品,以拟合模型观察到的文献计量数据。将β的倒数作为异质性的粗略度量,h = 1/β,表明影响因子和SSRN下载衡量法律学术影响力的不同方面。法律评论,特别是随着网络出版的耻辱消退,变得更加多样化。相比之下,SSRN数据的压缩而不是拉伸的指数动力学意味着在法律学者之间发布和共享预印本时存在雪崩式的过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
For Thine Is the Stretch, the Power, and the Glory: Bibliometrics as a Branch of Relaxation Kinetics
A stretched exponential function taking the form, f(x) = exp(-x^β), x ∈ [0, ∞), β ∈ (0, 1], characterizes decay, diffusion, and relaxation phenomena known as Kohlrausch-Williams-Watts (KWW) processes. Recent work, particularly on relaxation kinetics in metallic glasses, has described the conditions under the shape parameter β deviates from its usual value. Where β > 1, the corresponding exponential function is compressed rather than stretched.

The β-generalized exponential function provides good parametric fits for two measures of influence in legal academia: law review impact factors and Social Science Research Network (SSRN) downloads per author. A stretched exponential function models impact factors from 2007 through 2019. A compressed exponential function describes SSRN downloads per author by law school, except the single outlier atop the rankings. A power law distribution fits the SSRN data, but only for the top 100 schools.

The fact that the value of the exponent β straddles the value of 1, which characterizes an ordinary exponential function, is not a trivial artifact of fitting a model to observed bibliometric data. Treating the reciprocal of β as a rough measure of heterogeneity, h = 1/β, suggests that impact factors and SSRN downloads measure different aspects of academic influence in law. Law reviews, especially as the stigma of online publishing recedes, have become more heterogeneous. By contrast, the compressed rather than stretched exponential kinetics of SSRN data implies the presence of avalanche-like processes in the posting and sharing of preprints among legal scholars.
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