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Analysis of Players Transfers in Esports. The Case of Dota 2
P. 255–257.
Ekaterina Marchenko, Vsevolod Suschevskiy
In this work, we analyze how the esports transfer market is organized with the help of mixed methods. We assume that a combination of Social Network Analysis and Machine Learning can help to achieve deeper understanding and to find patterns which are hidden from the one-side analysis. For the research, we gathered information about transfers of Dota 2 teams made between The Internationals of 2016 and 2017 and built a network based on this data. For the ERGM, we checked the importance of belonging to one region and organization, difference of skills, and participation in TI, and for association rules, on a par with the regions, we added players roles, and a metric of their personal performance -- fantasy points. Summing up the results, we found out the importance of homophily within regions, detected presence of vertical mobility, and discover the influence of the specific players roles.
Maltseva D., Shcheglova T., Vashchenko V., Социологические исследования 2026 № 1 С. 62–74
The article continues to present the results of the analysis of collaboration networks of Russian sociologists in 2010–2021. It was conducted on the basis of data on co-authorship of scientific articles indexed in the electronic library eLibrary (75,232 scientific publications on sociology). The methodology of bibliometric network analysis implies the construction of several types of ...
Added: May 12, 2026
Iuliia Naidenova, Parshakov P., Matkin N., Journal of Content, Community and Communication 2025 Vol. 23 Article 5
This study analyzes the computer mediated text communication of non-professional video game players. The purpose of this study is to identify the impact of player communication toxicity on team performance. The dataset comprises 42,720 matches played between November 5 and November 18, 2015, including game statistics and chat messages. We use a BERT-model to classify ...
Added: December 29, 2025
Kapuza A., Getman A., Kotlikova A. et al., Educational Technology Research and Development 2025 Vol. 74 P. 769–791
Predicting the level of student learning engagement in online learning is crucial for student success, especially for asynchronous courses. While digital traces can track students’ activity on the platform and help to measure the engagement level, they could provide contradictory results, so it is crucial to incorporate complementary methods which can triangulate the findings obtained ...
Added: October 15, 2025
Микулинский А. Д., RHEMA. РЕМА 2025 № 3 С. 45–61
The paper examines the principles of analyzing the discursive strategies and tactics of sports and eSports casters’. The author highlights researchers’ lack of attention to the eSports commentary and raises the problem of its specificity. The article contains the systematized information required to study this specificity through further comparison of strategies of sports and eSports ...
Added: September 12, 2025
Maltseva D., Kim A., Semenova A., Operations Research Forum 2025 Vol. 6 Article 89
Due to the non-linear nature of the development of the sociological discipline in the Soviet time, and the existing inequality between central cities and regions in mod- ern Russia, the community of Russian sociologists is characterized by a low level of integration at the local level and selective representation in the international sci- entific community. ...
Added: June 26, 2025
Springer, 2024.
This book constitutes the refereed proceedings of the 12th International Conference on Analysis of Images, Social Networks and Texts, AIST 2024, held in Bishkek, Kyrgyzstan, during October 17–19, 2024.
The 16 full papers included in this book were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: Natural Language Processing; Computer Vision; Data Analysis and Machine Learning; ...
Added: May 29, 2025
Gorshkov S., Ignatov D. I., Chernysheva A., IEEE Access 2025 Vol. 13 P. 46732–46746
This paper presents a novel approach to predicting student dropout by analyzing publicly available data from VKontakte social network profiles. Unlike traditional methods that primarily rely on academic and institutional data, our method leverages publicly available content, including photos, videos, music preferences, and textual posts. Image and video content were analyzed using scene recognition models ...
Added: March 20, 2025
Gorshkov S., Ilyushin E., Chernysheva A. et al., International Journal of Open Information Technologies 2021 Vol. 9 No. 5 P. 12–17
Topic modeling is one of the most widely used methods in text analysis. It can be used to select topics as well as to find the topics distributed in each document from the corpus. In this article, we present a method for clustering communities in the social network VKontakte (the most popular Russian social network) ...
Added: December 25, 2024
Maltseva D., Batagelj V., Journal of Data and Information Science 2024 Vol. 9 No. 4 P. 110–154
Purpose
We analyzed the structure of a community of authors working in the field of social network analysis (SNA) based on citation indicators: direct citation and bibliographic coupling metrics. We observed patterns at the micro, meso, and macro levels of analysis.
Design/methodology/approach
We used bibliometric network analysis, including the “temporal quantities” approach proposed to study temporal networks. Using ...
Added: November 27, 2024
Shenkman E., Mariia Molodchik, Parshakov P., Journal of Sports Economics 2025 Vol. 26 No. 1 P. 115–132
This article examines whether the online context affects tournament theory incentive mechanisms. It investigates the impact of prize structure on player performance in eSports under online and offline conditions. Using a quasi-experimental approach with data from the Counter-Strike Global Offensive eSports scene, the study finds that high prize distributions increase individual output in both settings, ...
Added: October 21, 2024
Naidenova I., Parshakov P., Tylkin I. et al., Journal of Economic Behavior and Organization 2024 Vol. 227 Article 106760
This paper explores the phenomenon of choking under pressure within the context of esports, particularly focusing on the difference between online and live competitive settings and on high-pressure situations during overtime rounds. Employing a quasi-experimental design, the research leverages an extensive dataset covering professional CS:GO matches from 2012 to 2022 (match-level) and from 2015 to ...
Added: October 11, 2024
Akhremenko A. S., Sinitsina A., Соловьев В. А., Полития: Анализ. Хроника. Прогноз 2024 № 3(114) С. 59–81
In this paper, the authors propose a new methodology to analyze the dynamics of large-scale online network structures caused by significant exogenous shocks (foreign policy crises and the onset of military conflicts). The focus is on diagnosing cohesion or polarization processes. On the first step, mechanisms at the micro-level that may lead to consolidation or ...
Added: September 26, 2024
Parshakov P., Schöber T., Stadtmann G. et al., Journal of Electronic Gaming and Esports 2024 Vol. 2 No. 1 P. 1–8
The role of national diversity in sports and esports teams is a well-established field of research. Nevertheless, earlier studies primarily concentrated on assessing performance, based on criteria like prize money or the frequency of podium finishes. In this paper, we analyze the esports data of professional Counter-Strike: Global Offensive teams to shed light on the question of ...
Added: September 6, 2024
Kanaev E., Southeast Asia: Actual Problems of Development 2023 Vol. 4 No. 3(60) P. 43–53
The article illustrates salient features of the Metaverse-related developments in Southeast Asia seen through the prism of major regional consumption trends, as well as the evolution of the Metaverse around the world. Starting from an outline of determining factors behind the consumption growth in Southeast Asia, the paper proceeds to specifying reasons behind the popularity ...
Added: March 22, 2024
Kim A., Maltseva D., Monitoring Obshchestvennogo Mneniya: Ekonomichekie i Sotsial'nye Peremeny 2024 No. 1 P. 202–228
This study deals with an approach to stability evaluation of the community structure on the example of Russian sociologists’ Facebook group. Based on the data from the Facebook group, which consists of 7 years of communication from 2011 till 2018, we constructed the networks based on commenting and reacting. The participants’ activity includes four main ...
Added: December 7, 2023
Fokina A., Chepovskiy A., Chepovskiy A., Вестник Новосибирского государственного университета. Серия: Информационные технологии 2023 Т. 21 № 2 С. 29–38
When forming graphs of interacting objects built when importing data from social networks and instant messaging
networks, text data also act as vertex attributes. In this paper, the authors describe a text research methodology based on corpus analysis procedures. The purpose of this article is to test the methodological tools provided by the TXM software for the ...
Added: October 9, 2023