建立科学期刊发展的综合指标

L. Tugashova, A. Zatonskiy
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摘要

目前,确定期刊的等级和科学意义仍然是一个非常重要的问题。本文综述了国内外期刊质量评价方法。工作目的。这项研究的目的是建立数学模型,以便模拟和预测期刊科学发展的一个整体指标的动态。材料和方法。本文定义了评价期刊科学意义的科学计量指标。使用匹配相关系数矩阵来考察因素的独立性。基于多维平均法的应用,提出了一种反映所选科学计量指标与积分指标之间关系的数学依赖关系的方法。采用专家法对各因素进行排序。采用fishburn法计算权重系数。作为源数据,我们使用了来自学术电子图书馆的可用信息。研究的结果。利用所得公式,以期刊1为例,从源数据中计算出7年的积分指标值。使用类似的技术,我们推导了积分指标对期刊2关键指标的依赖关系,其中科学指数指标尚未定义。对未来三年的文献计量指标(因子)和综合指标进行了预测。为了预测因子(引用次数)变化的性质,选择了二次和三次依赖关系。研究了因子联合变化对积分指标的影响。讨论和结论。建立的数学模型可用于在科学期刊发展战略设计和管理决策时分析科学计量指标复合体随时间的变化。
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DEVELOPING AN INTEGRAL INDICATOR OF SCIENTIFIC JOURNALS DEVELOPMENT
Currently, the issue of determining the rating and scientific significance of journals remains very important. It provides a review of the methods for assessing the quality of Russian and foreign journals. Purpose of work. The aim of the study is to develop mathematical models allowing to simulate and predict the dynamics of an integral indicator of the scientific development of a journal. Materials and methods. The paper defines the set of scientometric indicators for assessing the scientific significance of journals. The independence of factors was investigated using a matrix of matching correlation coefficients. A method for obtaining a mathematical dependence that reflects the relationship between the selected scientometric indicators and the integral indicator, based on the application of the multidimensional average method, is proposed. The ranking of factors is performed by the expert method. The weight coefficients were calculated using the Fishburne method. As the source data, we used available information from the scholarly e-library. The results of the study. Using the formula obtained, the values of the integral indicator for 7 years have been calculated from the source data using the example of the Journal 1. Using a similar technique, we derived the dependence of the integral indicator on key indicators of the Journal 2, for which the Science Index indicator has not been defined. The forecast of bibliometric indicators (factors) and the integral index of the journal for the next three years is made. To predict the nature of the change in factors (number of citations), anquadratic and cubic dependence is selected. The influence of joint change of factors on the integral indicator is investigated. Discussion and conclusions. The developed mathematical models can be used to analyze changes in the complex of scientometric indicators over time when designing a development strategy for scientific journals and making managerial decisions.
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