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Analyzing Web Presence of Russian Universities in a Scientometric Context
P. 113–119.
Stanislav Pozdniakov, Musabirov I., Anastasiya Kuznetsova
In press
In this paper, we analyse the strategies and stratification of Russian universities in the Northwestern region. By enriching traditional social network analysis scientometric tools, we developed web presence indicators focused on the contexts in which universities are linked with businesses and are mentioned in media. We treat resulting groups in terms of Gouldner’s cosmopolitans versus locals theory, based on differences in their publication strategies, and embeddedness in business connections and media contexts.
Publication based on the results of:
Maloshonok N., Музыка П. А., Социологический журнал 2026 Т. 32 № 1 С. 156–176
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Antonyuk A., Vera.N.Minina, Pivovarov A. et al., Environmental Communication: A Journal of Nature and Culture 2025 Vol. 19 No. 4 P. 598–615
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Gorshkov S., Ilyushin E., Chernysheva A. et al., International Journal of Open Information Technologies 2021 Vol. 9 No. 5 P. 12–17
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Gerashchenko D., Demokratizatsiya: The Journal of Post-Soviet Democratization 2022 Vol. 30 No. 1 P. 107–133
Modernization reforms in Russian universities over the past 20 years have, among other things, led to the replacement of university leader elections with direct appointment. Although over half of the public universities in Russia still elect their academic leaders, electoral competitiveness is debatable. Given the vast diversity of universities, it is expected that the government ...
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Guba K., Gerashchenko D., Studies in Higher Education 2022 Vol. 47 No. 12 P. 2430–2443
In recent years, university sectors worldwide have undergone intense reforms under the influence of the global ideas of ‘new public management’ and ‘new managerialism’. National policies have widely adopted global scripts with advocacy for strengthening academic leadership as the essential ingredient of successful university transformation. However, how direct is the link between the policy reforms ...
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Malik M. S., Nawaz A., Jamjoom M. M. et al., Intelligent Data Analysis 2024 Vol. 28 No. 4 P. 1045–1065
Online product reviews (OPR) are a commonly used medium for consumers to communicate their experiences with products during online shopping. Previous studies have investigated the helpfulness of OPRs using frequency-based, linguistic, meta-data, readability, and reviewer attributes. In this study, we explored the impact of robust contextual word embeddings, topic, and language models in predicting the ...
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Maloshonok N., Высшее образование в России 2023 Т. 32 № 12 С. 48–64
The characteristics of the university that issued the higher education diploma are an important signal for the employer, indicating the quality of the graduate’s training. However, it remains unknown to what extent top Russian universities really differ in the quality of the educational process from other universities, and do not simply use their ability to ...
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Dezhina I., Высшее образование в России 2023 Т. 32 № 10 С. 76–90
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The paper focuses on the perspectives of the practical usage of the Russian Federation Virtual Population project data. The project represents a new database relative to Vkontakte social network. The project website is a customable resource designed to study Vkontakte structure. Data set relative to the network structure can be found on the website, as ...
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Mitrofanova O., Kriukova A., Shulginov V. et al., , in: Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information ScienceBook 1292: Communications in Computer and Information Science.: Springer, 2020. Ch. 9 P. 102–114.
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The ability of independent art spaces to create new practices in the arts is recognised, alongside with their influence on the socio-economic development of places in which they appear. Yet, art spaces remain poorly understood, as present studies look only at individual examples of these places. In this paper, using text mining methods, 1537 descriptions ...
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Melikyan A., Вопросы статистики 2021 Т. 28 № 5 С. 58–68
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Mitrofanova O., Kriukova A., Shulginov V. et al., , in: Recent Trends in Analysis of Images, Social Networks and Texts. 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020 Revised Supplementary ProceedingsVol. 12602.: Springer, 2021. Ch. 9 P. 102–114.
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Sherstinova T., Митрофанова О. А., Скребцова Т. Г. et al., , in: Advances in Computational Intelligence: 19th Mexican International Conference on Artificial Intelligence, MICAI 2020. Part IIVol. 12469.: Springer, 2020. P. 134–151.
The paper presents an experiment aimed at comparison of results of topic modelling via non-negative matrix factorization (NMF) with that of manual topic annotation performed by an expert. The experiment was conducted on the annotated corpus of Russian short stories of the initial three decades of the 20th century, which contains 310 stories with a ...
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Badryzlova Y., Nikiforova A., Lyashevskaya O., , in: Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected PapersVol. 12602.: Springer, 2021. P. 69–81.
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Added: October 7, 2020
Topic Modelling of the Russian Corpus of Pikabu Posts: Author-Topic Distribution and Topic Labelling
Mitrofanova O., Sampetova V., Mamaev I. et al., , in: Information Society: Education, Science, Culture, and Modern Technologies. (Proceedings of XXIII International Joint Conference «Internet and Modern Society», IMS-2020, St. Petersburg, 17 - 20 June 2020).: CEUR Workshop Proceedings, 2020. P. 101–116.
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