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Применение бимодальных сетей для картографии ценностей молодежных сообществ Санкт-Петербурга
Гл. 4. С. 222–239.
Pronin A., Veretennik E. V.
This article is an expanded version of the report submitted by the author on V scientific and practical conference dedicated to the memory of the first Dean of the Faculty of Sociology HSE Alexander O. Kryshtanovskiy "Sociological research methods in modern practice". The article is based on a study of the quantative data obtained in the course of one of the stages of the study "New social movements of youth" by Center of Youth Studies HSE - SaintPetersburg. At this stage, youth community mapping was conducted and analysis of the data using SNA tools was organised. The issue of this work is related to the specific application of network theory and network analysis methods in the process of discovering relations between various informal organisations on the example of youth communities.
In book
Вып. 1. , СПб.: Отдел оперативной полиграфии НИУ ВШЭ, 2013.
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
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
Oxford: Oxford University Press, 2025.
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
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
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
Антопольский А. Б., Bonch-Osmolovskaya A. A., Бородкин Л. И. et al., Сибирский федеральный университет, 2023.
For the first time in the Russian language, an actual interdisciplinary direction - digital humanities research, or digital humanities - is comprehensively considered.
humanities. Examples of (self-)definitions of the direction are given, and their overview is given.
The "digital turn" in humanities research and large-scale projects of
digitization of historical and cultural heritage are described in the context ...
Added: October 30, 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
Balandin Y., Gaivoronsky Y., Полития: Анализ. Хроника. Прогноз 2023 № 3(110) С. 67–90
The article is devoted to testing different approaches to explaining the turnover of the heads of the Russian regions after the return of direct gubernatorial elections. Until recently, two basic explanatory models of gubernatorial turnovers — electoral and socio-economic — were the most popular among the Russian political scientists. The influence on such turnovers of ...
Added: September 19, 2023
Асеева Я. О., Fokina A., В кн.: Информационно-телекоммуникационные технологии и математическое моделирование высокотехнологичных систем: материалы Всероссийской конференции с международным участием, Москва, РУДН, 17–21 апреля 2023 г.: М.: Российский университет дружбы народов им. Патриса Лумумбы, 2023. С. 290–294.
Recently, the number of Telegram messenger users worldwide has exceeded 700 million people in monthly terms and continues to grow every day. Telegram is used not only to exchange personal messages, but it has also become a leading platform for political, cultural and news channels — an alternative to traditional media. The purpose of this ...
Added: June 8, 2023
Matveeva N., Batagelj V., Ferligoj A., Scientometrics 2023 Vol. 128 No. 8 P. 4219–4242
The goal of the paper is to identify groups/clusters of countries with similar scientific collaboration "profiles" inside the group and to other groups of countries. The collaboration is described by co-authorship of a publication network that can be analyzed on the original co-authorship network. However, the network is dominated by large values in rows and ...
Added: June 8, 2023
Oxford University Press, 2020.
Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape ...
Added: December 16, 2022
Рекрутирование губернаторского корпуса в современной России: эволюция патрональных сетей (2017—2021)
Gaivoronsky Y., Balandin Y., Полития: Анализ. Хроника. Прогноз 2022 № 4 С. 146–167
The article presents an attempt to study the structural dynamics of federal-regional political networks in the process of recruiting heads of the regions. The authors focus their attention on the current stage of the evolution of the federal center’s approach towards the formation of the governor’s corps, which began with the change of the team ...
Added: November 29, 2022
Chepovskiy A., М.: Национальный открытый университет «ИНТУИТ», 2022.
В монографии рассмотрены различные математические модели для решения задач анализа сетей взаимодействующих объектов систем телекоммуникаций. Предназначена для разработчиков информационных систем, специалистов в области анализа данных. ...
Added: November 18, 2022
Cham: Springer, 2020.
We discuss two well-known network measures: the overlap weight of an edge and the clustering coefficient of a node. For both of them it turns out that they are not very useful for data analytic task to identify important elements (nodes or links) of a given network. The reason for this is that they attain ...
Added: October 31, 2022
Maltseva D., Shcheglova T., Vashchenko V. et al., Социодиггер 2022 Т. 3 № 9(21) С. 41–59
Эта статья открывает рубрику аналитических обзоров предметных областей, становящихся темами для очередных выпусков журнала. Начать мы решили с темы городского здравоохранения.
Для обзора выбрали методологию сетевого анализа библиометрических источников: перебрали 5597 статей из Web of Science, отобранных по ключевых словам, и 2179 статей журнала Journal of Urban Health. Добавили анализ публичного дискурса по здоровым городам через ...
Added: October 30, 2022
Popov V., Chepovskiy A., Вестник Новосибирского государственного университета. Серия: Информационные технологии 2022 Т. 20 № 2 С. 60–71
In this paper, an algorithm to import data from the messenger Telegram and to build weighted graphs of interacting objects is described. To import data, the given Telegram-channels are taken as a basis. Then, iteractively channels that had any of the recorded three interactions with previous ones are revealed: common external links, mentions of each ...
Added: September 2, 2022
Sheresheva M. Y., Valitova L., Sharko E. et al., Journal of Risk and Financial Management 2022 Vol. 15 No. 3 Article 129
The paper discusses the issues of industrial clusters analysis. Initially, the authors explore theoretical approaches to understanding clusters phenomenon, their identification and analysis. Looking at industrial clusters as network structures connected by various forms of interaction between members, such as ownership linkages, transactions, the presence of common counterparts, participation in arbitration processes, the authors propose ...
Added: March 15, 2022