Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sergei Sidorov"'
Publikováno v:
Modelling, Vol 5, Iss 3, Pp 1219-1238 (2024)
We study the evolution of the friendship index in complex social networks over time. The elements of the networks are the users, and the connections correspond to the interactions between them. The friendship index of a node is defined as the ratio o
Externí odkaz:
https://doaj.org/article/63e5170e22c445c983f2dbc83907d884
Publikováno v:
Modelling, Vol 4, Iss 4, Pp 585-599 (2023)
Social media significantly influences business, politics, and society. Easy access and interaction among users allow information to spread rapidly across social networks. Understanding how information is disseminated through these new publishing meth
Externí odkaz:
https://doaj.org/article/f9c869d0e3c74b2e8d6865bba8ee8a4b
Autor:
Sergei Sidorov, Timofei Emelianov, Sergei Mironov, Elena Sidorova, Yuri Kostyukhin, Alexandr Volkov, Anna Ostrovskaya, Lyudmila Polezharova
Publikováno v:
Mathematics, Vol 12, Iss 5, p 643 (2024)
It is recognized that most real systems and networks exhibit a much higher clustering with comparison to a random null model, which can be explained by a higher probability of the triad formation—a pair of nodes with a mutual neighbor have a greate
Externí odkaz:
https://doaj.org/article/17c5267c7a5c41088a40237147de0d9c
Publikováno v:
Systems, Vol 10, Iss 6, p 249 (2022)
We studied the evolution of complex social networks over time. The elements of the networks are users, and the connections correspond to the interactions between them. At a particular moment in time, each node of a complex network has such characteri
Externí odkaz:
https://doaj.org/article/8f48404857944cea9a039feeb17353b4
Publikováno v:
Mathematics, Vol 9, Iss 19, p 2484 (2021)
This study analyzes the spillover effects of volatility in the Russian stock market. The paper applies the Diebold–Yilmaz connectedness methodology to characterize volatility spillovers between Russian assets. The spectral representation of the for
Externí odkaz:
https://doaj.org/article/497c10f05ba24de08531bd4b1761b694
Publikováno v:
Symmetry, Vol 13, Iss 9, p 1567 (2021)
The study of temporal behavior of local characteristics in complex growing networks makes it possible to more accurately understand the processes caused by the development of interconnections and links between parts of the complex system that occur a
Externí odkaz:
https://doaj.org/article/7246998eef4c4238901736992a3b2708
Autor:
Alexey Faizliev, Vladimir Balash, Vladimir Petrov, Alexey Grigoriev, Dmitriy Melnichuk, Sergei Sidorov
Publikováno v:
Journal of Open Innovation: Technology, Market and Complexity, Vol 5, Iss 3, p 55 (2019)
The aim of the paper is to provide an analysis of news and financial data using their network representation. The formation of network structures from data sources is carried out using two different approaches: by building the so-called market graph
Externí odkaz:
https://doaj.org/article/e609a8de3d4547639f9eea919782ce3c
Autor:
Kirill Spiridonov, Sergei Sidorov
Publikováno v:
Izvestiya of Saratov University. Mathematics. Mechanics. Informatics. 22:216-223
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aa937245defc147444886475ad15ecc
https://doi.org/10.18500/1816-9791-2022-22-2-216-223
https://doi.org/10.18500/1816-9791-2022-22-2-216-223
Publikováno v:
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS. 17:117-123
Polysemy, when a single term has multiple meanings, and synonymy, when multiple terms have the same meaning, are common phenomena in linguistics as well as in scientific knowledge. In ontology engineering, it is vital to detect the synonyms annotatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41df128561960369a3d534d5f66962a9
https://doi.org/10.37394/23209.2020.17.14
https://doi.org/10.37394/23209.2020.17.14
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031241444
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcb6479bd4c9504e8e9273c3a4df064c
https://doi.org/10.1007/978-3-031-24145-1_18
https://doi.org/10.1007/978-3-031-24145-1_18
