布拉德福德信息模型对预测文章散布和优化期刊选择的实际意义

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2024-04-02 DOI:10.3103/S0005105524010023
O. V. Fedorets, N. S. Soloshenko
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引用次数: 0

摘要

摘要以化学与化学技术、机械工程、冶金与焊接三个主题片段为例,研究了2020-2022年VINITI文摘数据库中散布的文章。使用 Bradford 和 Vickery 的数学公式计算了第三散布区的期刊数量。通过布拉德福德-维克里出版散布定律,我们可以预测覆盖某一主题 90% 以上文章数量的期刊的最少数量。期刊选择的优化被简化为著名的 "knapsack "问题。建议按主题相关性对期刊进行排序。布拉德福德模型旨在选择最具生产力的期刊,而本文提出的模型则不同,旨在选择最相关的期刊。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The Practical Significance of Bradford’s Informetric Model to Predict the Scattering of Articles and Optimize Journal Selection

Articles scattered in the VINITI abstract database dated 2020–2022 are studied using the example of three thematic fragments: chemistry and chemical technologies, mechanical engineering, and metallurgy and welding. The mathematical formulas of Bradford and Vickery were used to calculate the number of journals in the third scattering zone. It is argued that the Bradford–Vickery law of publication scattering allows us to predict the minimum number of journals that cover more than 90% of articles quantity on a certain topic. The optimization of journal selection is reduced to the solution of the well-known knapsack problem. It is proposed to rank journals by thematic relevance. Unlike the Bradford model, intended to select the most productive journals, the proposed model is designed to select the most relevant journals.

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来源期刊
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
18
期刊介绍: Automatic Documentation and Mathematical Linguistics  is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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