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迈向引文分布的简单数学理论。

Towards a simple mathematical theory of citation distributions.

作者信息

Katchanov Yurij L

机构信息

National Research University Higher School of Economics (HSE), 20 Myasnitskaya Ulitsa, 101000 Moscow, Russia.

出版信息

Springerplus. 2015 Nov 5;4:677. doi: 10.1186/s40064-015-1467-8. eCollection 2015.

DOI:10.1186/s40064-015-1467-8
PMID:26558180
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4635388/
Abstract

The paper is written with the assumption that the purpose of a mathematical theory of citation is to explain bibliometric regularities at the level of mathematical formalism. A mathematical formalism is proposed for the appearance of power law distributions in social citation systems. The principal contributions of this paper are an axiomatic characterization of citation distributions in terms of the Ekeland variational principle and a mathematical exploration of the power law nature of citation distributions. Apart from its inherent value in providing a better understanding of the mathematical underpinnings of bibliometric models, such an approach can be used to derive a citation distribution from first principles.

摘要

本文的写作基于这样一种假设,即引文数学理论的目的是在数学形式主义层面解释文献计量规律。针对社会引文中幂律分布的出现提出了一种数学形式主义。本文的主要贡献在于根据埃克兰变分原理对引文分布进行公理刻画,以及对引文分布的幂律性质进行数学探究。除了在更好地理解文献计量模型的数学基础方面具有内在价值外,这种方法还可用于从第一原理推导出引文分布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1df3/4635388/a2ead86139bc/40064_2015_1467_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1df3/4635388/df744fd29612/40064_2015_1467_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1df3/4635388/c8147d7b0b6d/40064_2015_1467_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1df3/4635388/76e1867cf31f/40064_2015_1467_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1df3/4635388/265f7f9fa3c2/40064_2015_1467_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1df3/4635388/a2ead86139bc/40064_2015_1467_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1df3/4635388/df744fd29612/40064_2015_1467_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1df3/4635388/c8147d7b0b6d/40064_2015_1467_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1df3/4635388/76e1867cf31f/40064_2015_1467_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1df3/4635388/265f7f9fa3c2/40064_2015_1467_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1df3/4635388/a2ead86139bc/40064_2015_1467_Fig5_HTML.jpg

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本文引用的文献

1
Power laws in citation distributions: evidence from Scopus.引文分布中的幂律:来自Scopus的证据。
Scientometrics. 2015;103(1):213-228. doi: 10.1007/s11192-014-1524-z. Epub 2015 Jan 22.
2
On a heuristic point of view concerning the citation distribution: introducing the Wakeby distribution.关于引文分布的启发式观点:引入韦克比分布。
Springerplus. 2015 Feb 26;4:94. doi: 10.1186/s40064-015-0821-1. eCollection 2015.
3
A novel triangle mapping technique to study the h-index based citation distribution.一种新颖的三角映射技术,用于研究基于 h 指数的引文分布。
Sci Rep. 2013;3:1023. doi: 10.1038/srep01023. Epub 2013 Jan 3.
4
Characterizing and modeling citation dynamics.描述和建模引文动态。
PLoS One. 2011;6(9):e24926. doi: 10.1371/journal.pone.0024926. Epub 2011 Sep 22.
5
Nonuniversal power law scaling in the probability distribution of scientific citations.科学引文概率分布中的非普适幂律标度
Proc Natl Acad Sci U S A. 2010 Sep 14;107(37):16023-7. doi: 10.1073/pnas.1010757107. Epub 2010 Aug 30.
6
Universality of citation distributions: toward an objective measure of scientific impact.引文分布的普遍性:迈向科学影响力的客观衡量标准。
Proc Natl Acad Sci U S A. 2008 Nov 11;105(45):17268-72. doi: 10.1073/pnas.0806977105. Epub 2008 Oct 31.