Research of Bibliographic References in Math-Net.Ru using the Journal Citation Graph

Article Sidebar

PDF (Русский)
Published: 06.11.2021
UDC 519.178 UDC 004.9
DOI: https://doi.org/10.26907/1562-5419-2021-24-5-923-943
Issue
Vol. 24 No. 5 (2021): Special issue «Internet Technologies in Modern Scientific Research». Part 1

Main Article Content

Andrey Anatolievich Pechnikov
Institute of Applied Mathematical Research of the Karelian Research Centre of the Russian Academy of Sciences
Dmitry Evgen'evich Chebukov
Steklov Mathematical Institute of RAS

Abstract

According to the portal Math-Net.Ru a graph of journal citation is constructed. To increase the reliability of the model, the citation time interval was chosen from 2010 to 2021, when the distribution of citation articles stabilized at the level of 3500-4500 citations per year. The structure of link aging is studied and it is shown that their half-life is equal to 8 years. Therefore, the publication date of the cited articles was limited to 2002. For the constructed citation graph, the main properties, such as a small diameter and a high density, are obtained, indicating a high level of scientific communication in the Math-Net.Ru. The absence of the “Matthew effect” as a pronounced advantage in quoting established journals in relation to less well-known ones is shown. Adequacy of the journal citation graph Math-Net.Ru as a model of scientific communication confirmed by comparing the ranking of journals in the citation graph with their SCIENCE INDEX rating in eLIBRARY.RU. A direct moderate relationship between the two rankings is shown. A number of meaningful conclusions are drawn from the analysis of the citation graph.

Article Details

References

D.J. de Solla Price Networks of scientific paper // Science. 1965. No. 149(3683). P. 510–515.
2. Gross P.L.K., Gross E.M. College Libraries and Chemical Education // Science. 1927. V. 66, Iss. 1713. P. 385–389.
3. Kas M., Carley K.M., Carley L.R. Trends in science networks: understanding structures and statistics of scientific networks // Social Network Analysis and Mining. 2012. No. 2. P. 169–187.
4. Алескеров Ф.Т., Бадгаева Д.Н., Писляков В.В., Стерлигов И.А., Швыдун С.В. Значимость основных российских и международных экономических журналов: сетевой анализ // Журнал новой экономической ассоциации. 2016. № 2. С. 193–205.
5. Бредихин С.В., Ляпунов В.М., Щербакова Н.Г. Структура сети цитирования научных журналов // Проблемы информатики. 2017. № 2(35). С. 38–51.
6. Бредихин С.В., Ляпунов В.М., Щербакова Н.Г. Спектральный анализ сети цитирования научных журналов // Проблемы информатики. 2018. № 2(39). C. 24–40.
7. Печников А.А., Чебуков Д.Е. Исследование графа научного сотрудничества на основе цитирования в Math-Net.Ru // Информатизация образования и науки. 2020. № 3(47). С. 98–106.
8. Chebukov D., Izaak A., Misyurina O., Pupyrev Yu., Zhizhchenko A. Math-Net.Ru as a digital archive of the Russian mathematical knowledge from the XIX century to today // Lecture Notes in Comput. Sci. 2013. Vol. 7961. P. 344–348.
9. Писляков В.В. Самоцитирование и его влияние на оценку научной деятельности: обзор литературы. Часть I // Препринт. URL: https://arxiv.org/ftp/arxiv/papers/2109/2109.09192.pdf
10. Heneberg P. From Excessive Journal Self-Cites to Citation Stacking: Analysis of Journal Self-Citation Kinetics in Search for Journals, Which Boost Their Scientometric Indicators // PLoS ONE. 2016. 11(4): e0153730. https://doi.org/10.1371/journal.pone.0153730
11. Newman M.E., Girvan M. Finding and evaluating community structure in networks // Physical Review E. 2004. Vol. 69(2). P 026113.
12. Brin S., Page L. The Anatomy of a Large-Scale Hypertextual Web Search Engine // Computer Networks and ISDN Systems. 1998. No. 30. P. 107–117.
13. Merton R.K. The Matthew Effect in Science // Science. 1968. Vol. 159. Iss. 3810. P. 56–63.
14. Печников А.А. О репутационном статусе журналов Math-Net.Ru // Cloud of Science. 2020. T. 7. № 4. С. 734–748.
15. Bonitz M., Bruckner E., Scharnhorst A. The Matthew Index – Concentration Patterns and Matthew Core Journals // Scientometrics. 1999. Vol. 44, No. 3. P. 361–378.
16. Методика расчета интегрального показателя научного журнала в рейтинге Science Index. URL: https://elibrary.ru/help_title_rating.asp
17. The Clarivate Analytics Impact Factor. URL: https://clarivate.com/webofsciencegroup/essays/impact-factor
18. Налимов В.В., Мульченко З.М. Наукометрия: Изучение развития науки как информационного процесса. М: Наука, 1969. 191 с.
19. Методика расчета качественного показателя государственного задания «Комплексный балл публикационной результативности» для научных организаций, подведомственных Министерству науки и высшего образования Российской Федерации, на 2020 год. URL: https://old.minobrnauki.gov.ru/common/upload/library/2020/09/main/Metodika_novaya.pdf
20. Повесть временных лет. Подготовка текста, перевод и комментарии О.В. Творогова. URL: http://lib.pushkinskijdom.ru/?tabid=4869


Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Presenting an article for publication in the Russian Digital Libraries Journal (RDLJ), the authors automatically give consent to grant a limited license to use the materials of the Kazan (Volga) Federal University (KFU) (of course, only if the article is accepted for publication). This means that KFU has the right to publish an article in the next issue of the journal (on the website or in printed form), as well as to reprint this article in the archives of RDLJ CDs or to include in a particular information system or database, produced by KFU.

All copyrighted materials are placed in RDLJ with the consent of the authors. In the event that any of the authors have objected to its publication of materials on this site, the material can be removed, subject to notification to the Editor in writing.

Documents published in RDLJ are protected by copyright and all rights are reserved by the authors. Authors independently monitor compliance with their rights to reproduce or translate their papers published in the journal. If the material is published in RDLJ, reprinted with permission by another publisher or translated into another language, a reference to the original publication.

By submitting an article for publication in RDLJ, authors should take into account that the publication on the Internet, on the one hand, provide unique opportunities for access to their content, but on the other hand, are a new form of information exchange in the global information society where authors and publishers is not always provided with protection against unauthorized copying or other use of materials protected by copyright.

RDLJ is copyrighted. When using materials from the log must indicate the URL: index.phtml page = elbib / rus / journal?. Any change, addition or editing of the author's text are not allowed. Copying individual fragments of articles from the journal is allowed for distribute, remix, adapt, and build upon article, even commercially, as long as they credit that article for the original creation.

Request for the right to reproduce or use any of the materials published in RDLJ should be addressed to the Editor-in-Chief A.M. Elizarov at the following address: amelizarov@gmail.com.

The publishers of RDLJ is not responsible for the view, set out in the published opinion articles.

We suggest the authors of articles downloaded from this page, sign it and send it to the journal publisher's address by e-mail scan copyright agreements on the transfer of non-exclusive rights to use the work.