?
Scientific Matchmaker: Collaborator Recommender System
P. 404–410.
Modern co-authorship networks contain hidden patterns of researchers interaction and publishing activities. We aim to provide a system for selecting a collaborator for joint research or an expert on a given list of topics. We have improved a recommender system for finding possible collaborator with respect to research interests and predicting quality and quantity of the anticipated publications. Our system is based on a co-authorship network derived from the bibliographic database, as well as content information on research papers obtained from SJR Scimago, staff information and the other features from the open data of researchers profiles. We formulate the recommendation problem as a weighted link prediction within the co-authorship network and evaluate its prediction for strong and weak ties in collaborative communities.
In book
Vol. 10716. , Cham: Springer, 2018.
Trubochkina N. K., М.: Издательство «Юрайт», 2026.
This textbook is designed to develop students' holistic understanding of modern production processes and methods for their analysis and management using machine learning technologies. In the context of the fourth industrial revolution, where traditional engineering disciplines are inextricably intertwined with intelligent data processing methods, there is a growing need for specialists capable of integrating knowledge ...
Added: August 8, 2026
Matveeva N., Ferligoj A., Batagelj V., Scientometrics 2026 P. 1–20
Scientific collaboration among universities is traditionally studied by counting coauthored papers with different types of partners. Under this approach, the internal mechanisms of collaboration remain hidden and, without additional normalization, the results can be biased. In our study, we apply co-authorship network analysis to examine collaboration structures within university research networks. We use OpenAlex data ...
Added: June 8, 2026
Tyuryakova-Matveeva D., Цифровые гуманитарные исследования 2026 № 1 С. 4–26
The article explores cultural references in the works of Andrei Voznesensky by analyzing the personalities he mentions. A total of 1,678 works were processed, including poetry, prose, and early unpublished poems. NER methods based on Natasha, spaCy, and LLM Grok tools made it possible to study the frequency of mentions of famous people and their ...
Added: May 31, 2026
Aleskerov F. T., Khutorskaya O., Stepochkina A. et al., Springer, 2026.
The book contains new models of bibliometric analysis based on centrality measures in network analysis, pattern analysis and stability analysis. A distinctive feature of these centrality measures is that they account for the parameters of vertices and group influence of vertices to a vertex. This reveals specific groups of publications, authors, terms, journals and affiliations ...
Added: May 15, 2026
Belov A. V., Irina V. Arutyunova, , in: Proceedings of the 2025 INTERNATIONAL CONFERENCE "QUALITY MANAGEMENT, DIGITAL SECURITY, INFORMATION TECHNOLOGIES" (2025 QM&DS&IT).: IEEE, 2025. P. 169–173.
The equipment condition assessment system of the Caspian Pipeline Consortium is purposed to enhance the efficiency of monitoring and to manage the operation of pipeline systems. The primary objective of this initiative is to develop an information system that enables continuous monitoring of pipeline conditions, thereby minimizing maintenance costs and reducing risks associated with potential ...
Added: April 21, 2026
Pakhomova A., Вестник Московского университета. Серия 9: Филология 2026 № 1 С. 162–177
Beginning in the mid-1920s Aleksandr Vvedensky, Daniil Kharms,
and Konstantin Vaginov became acquainted with the circle of the poet, writer, and
playwright Mikhail Kuzmin, and by the close of this decade, they became regular
visitors to his residence. The interactions between Kuzmin and the Oberiuts has
been sufficiently developed; however, numerous studies have shifted the focus to the
pragmatics of ...
Added: April 1, 2026
Barkhatova L., В кн.: Человек в информационном обществе: сборник материалов третьей международной научно-практической конференции, посвящённой 80-летию Победы в Великой Отечественной войне, 23–26 апреля 2025 года, г. Самара.: Самара: Самарский национальный исследовательский университет имени академика С.П. Королева, 2025. С. 94–98.
The analytical possibilities of using semantic network analysis in qualitative research are considered. A scheme for constructing a semantic map and its integration with the results of the qualitative stage is proposed. It is shown that the implementation of semantic networks for analyzing qualitative data enables validation of conclusions. ...
Added: January 25, 2026
Trofimov S., Ymer 2025 Vol. 24 No. 11 P. 1–18
This paper presents the development of a multi-agent system for managing the technical condition of bus fleets in public transport enterprises. The proposed solution aims to enhance management decision-making processes in vehicle maintenance through the implementation of intelligent agents and data analytics. The system is based on the interaction of two types of agents: "Bus," which collects ...
Added: January 24, 2026
Matveeva N., Batagelj V., , in: Proceedings of the 20th International Conference on Scientometrics & Informetrics (ISSI2025), Vol. 2.: Yerevan: Publishing House of the National Academy of Sciences of the Republic of Armenia, “Gitutyun”, 2025.
There are many studies devoted to university collaboration, but little is known about the existing structure of researchers’ collaboration: which structures foster academic development and which do not. In our study, we analyze the co-authorship networks of eight leading young universities to investigate the collaboration structures of their researchers. We construct the corresponding co-authorship network ...
Added: November 27, 2025
Андриянов Д. А., Брагина А. Б., Kechik U. et al., Полития: Анализ. Хроника. Прогноз 2025 Т. 118 № 3 С. 80–107
It has long been generally accepted in Political Science that distributed elite networks, rather than institutions, are crucial to the functioning of the Russian political system. One of the important factors in the formation of such networks is ethnicity. Of particular interest is the ethnic dynamics in those regions, where there is no dominant ethnic ...
Added: September 25, 2025
Andronova E., Kapuza A., Психологические исследования: электронный научный журнал 2025 Т. 18 № 102 Статья 3
This study examines concepts as systemic elements within a conceptual structure, drawing on the theoretical framework of L.S. Vygotsky’s cultural-historical psychology. A key characteristic of concepts is their level of abstraction, which reflects their degree of generalization within a system. However, existing classification methods lack a unified approach, complicating empirical research. The current study aimed ...
Added: September 19, 2025
Глумов Ф. В., Maltsev A., Terra Politica 2025 № 1 С. 167–186
The present study is devoted to the phenomenon of gerrymandering on the example of US Congressional elections. The boundaries of US Congressional electoral districts were used for the analysis. The division of states into districts was based on census data from 2000 to 2020. Data on small administrative units (counties) similarly relied on census data. ...
Added: August 6, 2025
Loseva A., Moroz A., Shmidt E. et al., International Journal of Communication 2024 Vol. 18 P. 1–26
In light of the “gardening” of the public sphere in autocracies, the question of how power is distributed in the media field calls for empirical investigation. We use computational methods of network analysis, topic modeling, and semantic analysis to test if the Russian media landscape is organized around the three “publics” as suggested by earlier ...
Added: July 7, 2025
Spinazzola M., Scuotto V., Pironti M. et al., Small Business Economics 2025 Vol. 65 P. 1517–1534
Entrepreneurial ecosystems (EEs) are regarded as ideal breeding ground for knowledge-intensive entrepreneurs (KIEs). Yet, as EEs are mostly considered isolated from each other and their connectedness is neglected, there is a lack of research on their capacity to attract KIEs rather than to locally nurturing them. Inadequate data has been a major obstacle to this ...
Added: June 30, 2025
Fuad Aleskerov, Tkachev D., , in: In Honor of the 70th Birthday of Panos Pardalos. Theory, Algorithms and Experiments in Applied Optimization. SOIA, volume 226Vol. 226.: Springer, 2025. Ch. 2 P. 22–37.
New centrality indices Bundle and Pivotal, were introduced to identify key vertices taking into account parameters of vertices and an influence of vertices to a vertex. However, the Bundle and Pivotal indices are constructed in that way that they do not take into account directly the weights of arcs – important information about interaction among vertices ...
Added: April 29, 2025
Mikhaylova O., Dokuka S., Quality and Quantity 2025 Vol. 59 P. 4077–4095
This paper explores the use of the Core Discussion Network (CDN) methodology for analyzing personal networks. We discuss the method’s origins and the specifics of its implementation, followed by a brief overview of findings from international studies. Using data collected in 2021 from 270 first-year undergraduate and graduate students at a top-tier Russian university, we ...
Added: April 19, 2025
D. Pshychenko, Вестник Воронежского института высоких технологий 2024 Vol. 18 No. 3 Article 14
The article discusses the optimization of business processes using automated control systems based on
artificial intelligence (AI). Modern methods such as machine learning, robotic process automation,
natural language processing, and predictive analytics are examined, which enhance operational
efficiency, improve forecasting accuracy, and minimize errors. The advantages of implementing AI in
various business sectors are analyzed, including the automation of ...
Added: March 10, 2025
Pshichenko D., Инновационная наука 2024 No. 7-2 P. 40–45
This paper evaluates the effectiveness of AI-based Customer Relationship Management (CRM) systems
compared to traditional CRM systems. It examines the impact of AI integration on business operations, focusing
on automation and personalization. A comparative analysis highlights significant advantages of AI-CRM systems
in terms of customer satisfaction and operational efficiency. The study also addresses challenges, including high
implementation costs and ...
Added: March 10, 2025
Fuad Aleskerov, Tkachev D., , in: Dynamics of Disasters: From Natural Phenomena to Human ActivityVol. 217.: Springer, 2024. Ch. 1 P. 1–13.
The situation of deep uncertainty is defined by the absence of any statistical evaluations of the situation development. For instance, such situations may include events that occur for the first time. We use scenario analysis to model the potential outcomes of events affecting networks under deep uncertainty. Centrality indices are used to identify vulnerable vertices ...
Added: March 5, 2025
Meshcheryakova N., Швыдун С. В., Automation and Remote Control 2024 No. 85 P. 685–695
Identification of central elements in networks is an ill-defined problem. Hence, a large number of centrality measures have been proposed in the literature. We present a survey of existing axioms, which characterize certain properties of centralities. We also perform a perturbation analysis of centrality measures in real and artificial networks. ...
Added: December 2, 2024
Gallyamova A., Grigoryev D., Natural Systems of Mind 2025 Vol. 5 No. 1 P. 27–41
This study examines the psychometric properties of the Russian adult version of the Structure of Temperament Questionnaire (STQ-77Ru) within a diverse community sample. Employing both network psychometrics and Item Response Theory (IRT), we analyzed data from 3,442 Russian participants, aged between 18 and 81 years (M = 38, SD = 11). Network psychometrics were used ...
Added: November 1, 2024