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News
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.
October 5, 2026
Africa, Youth, and Civic Dialogue: Public Diplomacy Discussed at HSE University
In late September, HSE University hosted a roundtable discussion titled Civil Society in African Countries and Youth Participation in Public Diplomacy. Representatives of non-governmental organisations from Ghana, Ethiopia, and Russia, along with students from HSE University’s Bachelor’s Programme in Public Administration, discussed how young people without official diplomatic status can influence relations between countries and how the nonprofit sector can remain sustainable amid declining grant funding.

 

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Выделение актуальных тематик в социологии: взгляд сквозь призму анализа сети цитирований

Мониторинг общественного мнения: Экономические и социальные перемены. 2020. № 6. С. 113–140.
Булычева Е. Е., Maltseva D.

The work attempts to highlight the key topics in the sociology of 20th – early 21st centuries by analyzing publications which appeared in ten leading general sociology journals in the English language. The study is based on a quantitative paradigm and analyzes bibliographic information on Web of Science publications (more than 23 thousand). The data collected served to build a network of citations between publications. Using the network analysis metrics and key-route main path algorithm the authors identify the publications with the highest number of citations which can be considered as the most significant for the authors of the selected journals. The article also traces the connections between the publications and highlights the topics relevant and dominant in a particular area are relevant and dominant in a particular area of sociology in a particular time frame.

Research target: Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
DOI
Text on another site
Keywords: сетевой анализистория наукиистория социологииhistory of sciencehistory of sociologynetwork analysisбиблиометрический анализbibliometric analysiscitation networksсеть цитирований
Publication based on the results of:
Network Sciences: fundamental network research and analytical decision support for government and business (2020)
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