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July 24, 2026
'Physics Is What the World Is Literally Built On'
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‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Киберагрессия и киберпреступления в современной России: факторы риска

Социологические исследования. 2025. Т. 51. № 10. С. 39–51.
Shcherbakov R.

The study investigates social groups vulnerable to cyber aggression and cybercrime. The main objective is to examine how socio-demographic conditions, as well as cultural capital in the form of digital skills and everyday internet use shape the distribution of both types of cyber risks. The analysis relies on survey data from the Monitoring of Digital Transformation of Economy and Society, collected by ISSEK NRU HSE in April – May 2024 through face-to-face interviews. The representative sample (N = 10038) reflects the key socio-demographic characteristics of the Russian population. The survey results revealed that approximately one-third of respondents have experienced cyber aggression or cybercrime. Intrusive communication and tactless questions were identified as the most common forms of cyber aggression, while fraudulent emails requesting personal data were а most frequently reсorded type of cybercrime. Regression analysis demonstrated that elderly individuals and those with higher education are more likely to experience a broader range of cybercrime. Younger respondents and individuals without higher education were found to be more exposed to a broader range of cyber aggression. The intensity of internet use in everyday activities significantly predicted vulnerability to both cyber aggression and cybercrime. Users engaged in online communication and gaming face higher exposure to cyber aggression, whereas online communication and online shopping were the strongest predictors of cybercrime. Higher levels of online privacy concerns, security skills, and information literacy were also associated with greater exposure to both threats. Overall, the findings highlight importance of considering both socio-demographic and behavioral factors in understanding digital risks.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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DOI
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Keywords: рискиriskscybercrimeцифровизацияdigitalizationcyber aggressionкиберагрессиякиберпреступлениякибервиктимность
Publication based on the results of:
Monitoring of artificial intelligence technologies and digital transformation of economy and society (2025)
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