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Networks in the Global World V: Proceedings of NetGloW 2020. Lecture Notes in Networks and Systems
Vol. 181.
Springer, 2021.
Under the general editorship: A. Antonyuk, N. Basov
Chapters
Moroz A., Pashakhin S., Koltsov S., , in: Networks in the Global World V: Proceedings of NetGloW 2020. Lecture Notes in Networks and SystemsVol. 181.: Springer, 2021. P. 180–195.
Online social networks have become an essential communi- cation channel for the broad and rapid sharing of information. Currently, the mechanics of such information-sharing is captured by the notion of cascades, which are tree-like networks comprised of (re)sharing actions. However, it is still unclear what factors drive cascade growth. Moreover, there is a lack of ...
Added: September 22, 2020
Sinyavskaya Y., Porshnev A., , in: Networks in the Global World V: Proceedings of NetGloW 2020. Lecture Notes in Networks and SystemsVol. 181.: Springer, 2021. P. 196–208.
Rich data from social network sites (SNS) attracts the attention of psychologists and sociologists interested in interpersonal dynamics, friendship networks, and social capital. The presented study explores the effect of network structural features and psychological characteristics of SNS users on changes in their friendship networks. The data from the representative and diverse sample of 375 ...
Added: September 25, 2020
Mikhalchuk D., Shirokanova A., , in: Networks in the Global World V: Proceedings of NetGloW 2020. Lecture Notes in Networks and SystemsVol. 181.: Springer, 2021. P. 209–221.
Co-playing, or playing video games together, is a social practice that enriches relationships and game experience by providing the players with informational and social support. This study explores how co-playing integrates into friendship in two small (6–7 people), male communities of adolescent and adult friends. Both communities are local and school-based; both focus on co-playing ...
Added: February 20, 2021
Evmenova E., Gromov D., , in: Networks in the Global World V: Proceedings of NetGloW 2020. Lecture Notes in Networks and SystemsVol. 181.: Springer, 2021. P. 120–132.
Signed networks form a particular class of complex networks that has many applications in sociology, recommender and voting systems. The contribution of this paper is twofold. First, we propose an approach aimed at determining the characteristic subgraphs of the network. Second, we apply the developed approach to the analysis of the network describing the Wikipedia ...
Added: March 1, 2021
Research target:
Other social sciences
Media and Communications
Sociology (including Demography and Anthropology
Computer Science
Language:
English
Кровицкая А. В., Попов Д. И., Кравченко А. А. et al., Judaic-Slavic Journal 2024 № 11-12 С. 133–186
The collective research deals with the representation of the Holocaust memory in the media of Central-Eastern and Northern Europe in the second decade of the XXI century on the example of Germany, Austria, Poland, Lithuania, Latvia, Estonia, Sweden, Denmark, and Norway. Each of these states, the article argues, is characterized by its own distinct memory ...
Added: May 13, 2026
Гарифзянова А. Р., Мир России: Социология, этнология 2026 № 2 С. 170–193
This article analyzes the situation of Muslims within the Russian penitentiary system. The empirical basis of the study is 74 biographical interviews with former prisoners conducted in three regions of Russia between 2019 and 2022. The analysis focuses on accounts by former male prisoners who identified themselves as Muslims and mentioned Islam and Muslim practices. ...
Added: May 13, 2026
Mkrtchyan N. V., Известия РАН. Серия географическая 2026 Т. 90 № 1 С. 231–245
Objective of the study is to assess the provision of all settlements in four regions of the Russian Near
North (Vologda, Kostroma, Kirov, and Yaroslavl oblasts) with social infrastructure facilities and to
analyze whether the migration balance of settlements is associated with varying levels of provision of
these facilities. The study is based on data collected from open ...
Added: May 13, 2026
Neal N. X., Weiqing L., Dacheng H. et al., Algorithms 2026 Vol. 19 No. 5 P. 1–22
In the era of data-driven education, educational social networks generate large volumes of high-dimensional and complex-structured data through learner interactions, collaborative activities, and resource-sharing behaviors, posing significant challenges to traditional unsupervised learning methods. Such data often exhibit non-convex distributions, heterogeneity, and noise sensitivity, making conventional clustering approaches insufficient for capturing their intrinsic structural relationships. To ...
Added: May 13, 2026
Tikhonova N. E., Социологическая наука и социальная практика 2025 Т. 14 № 1 С. 81–107
Taking into account the relevance of the problem of euthanasia in the context of the
increase in severe cancer and genetic diseases, the article shows, based on the data of the Monitoring of the IS FCTAS RAS 2024 (N = 2000) and the World Values Survey (2006 and
2017–2022), that in their attitude towards euthanasia, Russians are divided ...
Added: May 13, 2026
Balashov D., Антиномии 2026 Т. 26 № 1 С. 27–48
The movement of effective altruism, which emerged at the beginning of the 21st century, represents a new form of utilitarian philosophy that has had a significant impact on Anglo-American philosophical thought in the 19th and 20th centuries. A key feature of effective altruism is its emphasis on practicality. The movement positions itself as an entity ...
Added: May 13, 2026
Velichkov B., Nikolova-Koleva I., Slavcheva M., INCOMA Ltd, 2025.
The RANLP 2025 Student Research Workshop (RANLPStud’2025) is a special track of the established international conference Recent Advances in Natural Language Processing (RANLP’2025).
The RANLPStud is being organised for the 9th time and this year is running in parallel with the other tracks of the main RANLP 2025 conference. The target of RANLPStud’25 is to be a ...
Added: May 12, 2026
Shcherbakov R., Мониторинг общественного мнения: Экономические и социальные перемены 2026 № 2 С. 216–235
The aim of this study is to identify factors related to the use of cybersecurity practices among the Russian population. The author considers factors such as socioeconomic status (gender, age, higher education, type of settlement, and financial situation) and ex-perience of exposure to digital risk (the fact of being exposed to risks and declared con-cerns ...
Added: May 12, 2026
Kazun A. D., Мониторинг общественного мнения: Экономические и социальные перемены 2026 № 2 С. 192–215
This article examines how Russians conceptualize the groups most vulnerable to fake news. Drawing on 119 semi-structured interviews conducted in spring 2024, I find clear evidence of the third-person effect: participants believe that disinformation primarily threatens “others” who differ from them on salient dimensions. Age is the most common basis for dividing society into “us” ...
Added: May 12, 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
Stepanyants V., Долгов И. М., Хорошилов Г. С. et al., Труды Института системного программирования РАН 2026 Т. 38 № 3 С. 95–110
Highly automated and connected vehicles are gradually entering the market. Currently, solutions are being proposed that allow these technologies to be used for cooperative driving automation, which can significantly improve traffic safety. Such technologies and their software should be tested to ensure safety before being implemented in real systems. Verification and validation of vehicular control ...
Added: May 12, 2026
Tikhonov R., Efendiev M. T., Fedotenkov A. A., 2026 International Russian Smart Industry Conference (SmartIndustryCon) 2026 P. 542–547
High-fidelity simulation environments like CARLA and ROS are essential for connected and automated vehicle research. They allow researchers to verify and validate new software and technology without the time, financial, and safety overheads of real-world testing. However, their operation requires considerable expertise for creating platform-specific scenario configuration files, which complicates the research workflow. This paper ...
Added: May 11, 2026
Los Alamitos: IEEE Computer Society, 2026.
It is a great pleasure for us to welcome you on behalf of the conference committees, to the 11th IEEE International Conference on Smart Cloud (IEEE SmartCloud 2026), we are glad that we can have this international conference in New York city, USA. Now, please allow us to introduce the IEEE SmartCloud 2026 conference. The ...
Added: May 10, 2026
Карцева М. А., Peresetsky A., / Высшая школа экономики. Серия WP2 "Количественный анализ в экономике". 2026. № WP2/2026/01.
This study examines the association between health status among elderly individuals living alone and pet ownership (cats, dogs). We employ data from the “Time Use Survey” conducted by the Federal State Statistics Service (Rosstat) in 2019, which contains information on more than 10,000 elderly individuals living alone aged 60 or older in Russia, including data ...
Added: May 8, 2026
Avdoshin S. M., Pesotskaya E. Y., Информационные технологии 2026 Т. 32 № 4 С. 185–194
With the rapid advancement of artificial intelligence, and deep learning in particular, models have emerged that are capable of delivering highly accurate predictions. However, the internal logic of such models remains difficult to interpret—an issue of critical importance, especially in domains where the correctness of an algorithm directly affects high-stakes decision-making. One promising avenue for ...
Added: May 8, 2026
Avdoshin S. M., Pesotskaya E. Y., Business Informatics 2026 Vol. 20 No. 1 P. 7–28
The rapid development of artificial intelligence (AI) is accompanied by increasing computational
complexity and decreasing model transparency, which significantly limits its adoption in critical
domains that require a high level of trust, interpretability, and justification of decisions. Under these
conditions, the field of Explainable Artificial Intelligence (XAI) has gained particular importance as it
focuses on approaches and technologies that ...
Added: May 8, 2026
Kuzminov Y., Ovcharova L., Radaev V., Вопросы экономики 2026 № 5 С. 5–16
This article introduces the special issue of the journal “Voprosy Ekonomiki”, which focuses on household economic behavior. The issue is based on the “Economic Behavior of Households” project, which has been implemented at the Higher School of Economics since 2023. The project consists of two components: a field component, which involves collecting sociological data, and ...
Added: May 8, 2026
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Qin X., Deng Y., Shchur L. et al., / Series arXiv "math". 2026. No. 2603.02962.
We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dimensions. As expected, the critical exponents agree with the three-dimensional Ising universality class for all models. The irrelevant field, as revealed by the correction-to-scaling amplitudes, appears to ...
Added: April 20, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Vorchik A., / Social Science Research Network. Серия SSRN Working Paper Series "SSRN Working Paper Series". 2026.
This article is devoted to the phenomenon of intrinsic motivation, to understand which two models are proposed. We study how positive/negative intrinsic motivation to work (experienced utility) affects worker's individual labour supply (model I) and the amount of effort they exert (model II). In model I, we use intrinsic motivation to explain the positive/negative slope ...
Added: March 15, 2026
Musaev A. U., Vorchik A., / Series Social Science Research Network "Social Science Research Network". 2026.
This paper attempts to model the evolutionary theory of modernization and democratization. The model reflects the key provisions of R. Inglehart and C. Welzel's theory and provides a microfoundation for the adaptation of subjective values to the objective importances of the survival factors and the structure of the labour markets from the perspective of evolutionary ...
Added: February 10, 2026
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026