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Bibliometric Maps of Science: The Visualization of Scientific Research

Bibliometric Maps of Science: The Visualization of Scientific Research

Irina Marshakova-Shaikevich
Copyright: © 2018 |Pages: 30
ISBN13: 9781522549901|ISBN10: 1522549900|EISBN13: 9781522549918
DOI: 10.4018/978-1-5225-4990-1.ch008
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MLA

Marshakova-Shaikevich, Irina. "Bibliometric Maps of Science: The Visualization of Scientific Research." Information Visualization Techniques in the Social Sciences and Humanities, edited by Veslava Osinska and Grzegorz Osinski, IGI Global, 2018, pp. 121-150. https://doi.org/10.4018/978-1-5225-4990-1.ch008

APA

Marshakova-Shaikevich, I. (2018). Bibliometric Maps of Science: The Visualization of Scientific Research. In V. Osinska & G. Osinski (Eds.), Information Visualization Techniques in the Social Sciences and Humanities (pp. 121-150). IGI Global. https://doi.org/10.4018/978-1-5225-4990-1.ch008

Chicago

Marshakova-Shaikevich, Irina. "Bibliometric Maps of Science: The Visualization of Scientific Research." In Information Visualization Techniques in the Social Sciences and Humanities, edited by Veslava Osinska and Grzegorz Osinski, 121-150. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-4990-1.ch008

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Abstract

This chapter is devoted to directions in algorithmic classificatory procedures: co-citation analysis as an example of citation network and lexical analysis of keywords in the titles. The chapter gives the results of bibliometric analysis of the international scientific collaboration of EU countries. The three approaches are based on the same general idea of normalization of deviations of the observed data from the mathematical expectation. The application of the same formula leads to discovery of statistically significant links between objects (publication, journals, keywords, etc.) reflected in the maps. Material for this analysis is drawn from DBs presented in ISI Thomson Reuters (at present Clarivate Analytics).

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