3начимость основных российских и международных экономических журналов: сетевой анализ

Журнал Новой экономической ассоциации. 2016. Т. 2. № 30. С. 193–207.

Aleskerov F. T., Бадгаева Д. Н., Pislyakov V., Sterligov I., Shvydun S.

The work is related to the detection of key international and Russian economic journals in cross-citation networks. A list of international journals and information on their cross-citations were taken from Web of Science (WoS) database while information on Russian journals was taken from Russian Science Citation Index (RSCI). We calculated classical centrality measures, which are used for key elements detection in networks, and proposed new indices based on short-range and long-range interactions. A distinct feature of the proposed methods is that they consider individual attributes of each journal and take into account only the most significant links between them. An analysis of 100 main international and 29 Russian economic journals was conducted. As a result, we detected journals with large number of citations to important journals and also journals where the observed rate of selfcitation is a dominant in the total level of citation. The obtained results can be used as a guidance for researchers planning to publish a new paper and as a measure of importance of scientific journals.

Keywords: сетевой анализ, индексы влияния, network analysis, индексы цитирования, экономические журналы, importance of journals, economic journals, centrality measures, citations, важность журналов

Publication based on the results of: Development and research of new mathematical models in socio-economic and political spheres (2016)