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The science contextual citation index
I. V. Galina, M. M. Charnine Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Abstract:
A new indicator of the quality of a scientific article — the science
contextual citation index (SCCI) and the relationship between the SCCI
and the science citation index (SCI) with another author's indicator — a similarity
measure (a semantic similarity measure) of two arbitrary texts
are considered. The results of
experiments with these parameters are given, in particular, the correlation between
SCCI and SCI, which depends on the value of the semantic similarity
threshold, is studied. Based on modeling the values of independent variables and their
regression coefficients, a predictive mathematical probability model is proposed for
the dependence of the number of direct citations on the number of implicit references
and their parameters.
Keywords:
automated systems, science contextual citation index, semantic similarity measure, explicit and implicit reference.
Received: 08.10.2018
Citation:
I. V. Galina, M. M. Charnine, “The science contextual citation index”, Sistemy i Sredstva Inform., 29:3 (2019), 66–76
Linking options:
https://www.mathnet.ru/eng/ssi655 https://www.mathnet.ru/eng/ssi/v29/i3/p66
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Abstract page: | 140 | Full-text PDF : | 79 | References: | 24 |
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