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Network Analysis of Players Transfers in eSports: The Case of Dota 2
P. 468–473.
Ekaterina Marchenko, Vsevolod Suschevskiy
In this work, we analyse the structure of local and regional market of player transfers in popular eSports discipline Dota 2. Together with team performance metrics, these data provide us with an opportunity to model network of transfers between teams. In turn, the transfers show the actual structure of mobility in the industry. We collected the data on players’ transfers for the top professional teams and their transfer partners, based on transactions between two world tournaments: The International 16 to The International 17. We built a directed network of transfers and analysed centralities, assortative mixing, and link formation.
The global transfer market structure is organised around continental regions. At the same time, teams with the same level of performance rarely have transfers. This can be a reliable indicator of the presence of mobility lifts, in this case, mastodons of the tournament accept in their ranks natives of the less rated teams. On the other hand, some successful players may leave the best teams to establish their own, in the same way as top managers leave the large corporations to launch startups.
Publication based on the results of:
In book
Issue 858. , Cham: Springer, 2018.
Жданович Д. О., Selskiy A., Троицкая Э. В. et al., Физическое воспитание и студенческий спорт 2024 Т. 3 № 2 С. 123–128
The development of modern technologies leads to transformation of all the spheres of society, including sports. One of the key trends of recent years is emergence and fast spread of high-tech (innovative) sports, where digital technologies are embedded directly into the process of competition, such as phygital (combined functional and digital) sport, drone (unmanned aircraft) ...
Added: June 23, 2026
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
Smirnov A., AlterEconomics (ранее - Журнал экономической теории) 2024 Т. 21 № 2 С. 286–301
Interregional migration in Russia surpasses both intraregional and international migration in volume, playing a pivotal role in redistributing human capital across the country. To capture migration patterns between regions comprehensively, it is crucial to analyze all migration flows rather than just final migration indicators. This study integrates two research fields: network science, which examines various ...
Added: March 18, 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
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
Springer, 2025.
This book contains best selected research papers presented at ICTCS 2024: Ninth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Jaipur, India during 19 – 21 December 2024. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for ...
Added: September 8, 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
Семенько Д. С., Социология науки и технологий 2025 Т. 16 № 1 С. 174–192
В современном мире важную роль занимает разработка программного обеспечения. В связи с этим исследователи все чаще обращаются к изучению сообществ программистов, а также коммуникации в этих сообществах. Важнейшей частью социального пространства сообщества программистов являются платформы для коллаборации. Это системы, которые предназначены для хостинга и управления проектами. Крупнейшая из таких систем — платформа GitHub. На ней ...
Added: May 13, 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
Krivonosov M., Nazarenko T., Ushakov V. et al., Technologies 2025 Vol. 13 No. 1 Article 13
This paper introduces a novel approach for classifying multidimensional physiological and clinical data using Synolitic Graph Neural Networks (SGNNs). SGNNs are particularly good forto addressing the challenges posed by high-dimensional datasets, particularly in healthcare, where traditional mMachine lLearning and Artificial Intelligence methods often struggles to find global optima due to the “curse of dimensionality”. To ...
Added: December 23, 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