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October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
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.

 

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Идентификация автора текста в сетевой коммуникации

Вестник Волгоградского государственного университета. Серия 2: Языкознание. 2022. Т. 21. № 3. С. 143–157.
Romanova T. V., Khomenko A.

The article deals with general and particular patterns of solving the identification problem of attributional linguistics on the texts of written network communication. The problem of determining text authorship is solved by comparing a disputed text, the author of which, according to the conditions of the experiment, is unknown, with texts, the authors of which are known. The problem is solved for several discursive areas: online literature, corporate e-mail, short comments on posts on the entertainment portal. These discursive spheres have correlates with several functional styles of speech, fiction, official and colloquial, which makes it possible to identify the trends in textual attribution within the material of Internet communication. For the analysis of speech material, a holistic approach, the tool of which is linguistic modelling, is used. The choice of parameters describing the author’s individual style is rooted to considering text to be a product of an authentic language personality. Language personality is described using psycholinguistic (Yu.N. Karaulov), sociolinguistic and forensic linguistic (S.M. Vul, M. Coulthard, R. W. Shuy) methods. With the help of specialized software "KhoRom", researchers create mathematical models of the individual styles of the compared texts authors. As output the resource displays Pearson correlation coefficient, linear regression and Student’s criterion for the models of the two idiolects represented in compared texts, as well as each parameter metrics values. The software is only a part of the attribution algorithm. The obtained mathematical statistics should be analyzed by experts with the usage of methodological recommendations developed for the algorithm. On the basis of these models and their study, a number of conclusions about statistical patterns of an authorship study in various discursive spheres of electronic communication are made.

Research target: Philology and Linguistics
Language: Russian
Full text
DOI
Keywords: математическая модельязыковая личностьmathematical modelingauthorship attributionлингвистическая модельlinguistic modelсетевая коммуникацияатрибуция текстаlanguage personalitynetwork communication
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