<p>Deviation from Benford’s law and identification of author peculiarities in texts</p>

Zenkov A.V.

Issue 1, 2015 Vol. 7

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Deviation from Benford’s law and identification of author peculiarities in texts

Zenkov A.V.

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The distribution of the first significant digit in numerals of connected texts is considered. Benford's law is found to hold approximately for them. Deviations from Benford's law are statistically significant author peculiarities that allow, under certain conditions, to distinguish between parts of the text with a different authorship.

Keywords: Benford’s law, Statistical hypothesis testing, Mann–Whitney U-test

Citation in English: Zenkov A.V. Deviation from Benford’s law and identification of author peculiarities in texts // Computer Research and Modeling, 2015, vol. 7, no. 1, pp. 197-201

DOI: 10.20537/2076-7633-2015-7-1-197-201

URL: http://crm-en.ics.org.ru/journal/article/2240/

Computer Research and Modeling - 2015 - Issue 1

This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.

According to Crossref, this article is cited by:

William Goodman. The promises and pitfalls of Benford’s law. // Significance. — 2016. — V. 13, no. 3. — P. 38. DOI: 10.1111/j.1740-9713.2016.00919.x
Andrei Viacheslavovich Zenkov. A novel method of stylometry based on the statistic of numerals. // Computer Research and Modeling. — 2017. — V. 9, no. 5. — P. 837. DOI: 10.20537/2076-7633-2017-9-5-837-850

Please note that citation information may be incomplete as it includes data from Crossref cited-by program partners only.

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