Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Gubanov, Dmitry A."'
Autor:
Kazhberova, Varvara, Chkhartishvili, Alexander, Gubanov, Dmitry, Kozitsin, Ivan, Belyavsky, Evgeny, Fedyanin, Denis, Cherkasov, Sergey, Meshkov, Dmitry
Analyzing the possibilities of mutual influence of users in new media, the researchers found a high level of aggression and hate speech when discussing an urgent social problem - measures for COVID-19 fighting. This fact determined the central aspect
Externí odkaz:
http://arxiv.org/abs/2208.12170
Publikováno v:
Advances in Systems Science and Applications, 21(3), 91-100 (2021)
This cross-sectional study characterizes users' attitudes towards the face mask requirements introduced by the Russian government as a response to the COVID-19 pandemic. We study how they relate to other users' characteristics such as age, gender, an
Externí odkaz:
http://arxiv.org/abs/2105.07397
Autor:
Pupyshev, Aleksei, Gubanov, Dmitry, Dzhafarov, Elshan, Sapranidi, Ilya, Kardanov, Inal, Zhuravlev, Vladimir, Khalilov, Shamil, Jansen, Marc, Laureyssens, Sten, Pavlov, Igor, Ivanov, Sasha
This paper intends to propose the architecture of a blockchain-agnostic protocol designed for communication of blockchains amongst each other (i.e. cross-chain), and for blockchains with the outside world (i.e. data oracles). The expansive growth of
Externí odkaz:
http://arxiv.org/abs/2007.00966
Autor:
Chebotarev, Pavel, Gubanov, Dmitry
Centrality metrics play a crucial role in network analysis, while the choice of specific measures significantly influences the accuracy of conclusions as each measure represents a unique concept of node importance. Among over 400 proposed indices, se
Externí odkaz:
http://arxiv.org/abs/2003.01052
Publikováno v:
Advances in Systems Science & Applications; 2023, Vol. 23 Issue 3, p108-126, 19p
Akademický článek
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Autor:
Gubanov, Dmitry
Publikováno v:
Analysis of Images, Social Networks & Texts; 2014, p85-90, 6p
Publikováno v:
E-Expertise: Modern Collective Intelligence; 2014, p77-88, 12p
Publikováno v:
E-Expertise: Modern Collective Intelligence; 2014, p55-76, 22p