Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Sergei P. Sidorov"'
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-35 (2021)
Abstract Many empirical studies have shown that in social, citation, collaboration, and other types of networks in real world, the degree of almost every node is less than the average degree of its neighbors. This imbalance is well known in sociology
Externí odkaz:
https://doaj.org/article/73210028781444cd98b24cff9ae6458e
Autor:
Aleksandr Fomenko, Sergei P. Sidorov, Maria Krylova, Olga Balash, Alexey Faizliev, Vladimir Balash
Publikováno v:
Journal of Marketing Analytics. 9:99-110
This paper proposes a new class of innovation diffusion models which are extensions of the standard logistic model, the Bass model, and the Gompertz model for the case when the observed process is the result of the interaction of several unobserved p
Autor:
Alexey Faizliev, Anastasia Stepanova, Daniil Volkov, Sergei V. Mironov, Vladimir Balash, Sergei P. Sidorov
Publikováno v:
WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL. 15:93-101
In this paper we propose a new heuristic algorithm for solving a maximum clique search problem (MCP). While the proposed algorithm (called TrustCLQ) uses a general approach to solving MCP, it is almost independent of the order of vertices and does no
Autor:
Vladimir Balash, Dmitriy Melnichuk, Alexey Faizliev, Alfia Chekmareva, Alexey Grigoriev, Sergei P. Sidorov
Publikováno v:
WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS. 17:120-132
This paper studies the properties of the Russian stock market by employing the data-driven science and network approaches. The theory of complex networks allows us to build and examine topological network structures of the market with the further ide
Publikováno v:
Mathematics
Volume 9
Issue 19
Mathematics, Vol 9, Iss 2484, p 2484 (2021)
Volume 9
Issue 19
Mathematics, Vol 9, Iss 2484, 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
Publikováno v:
Symmetry, Vol 13, Iss 1567, p 1567 (2021)
Symmetry
Volume 13
Issue 9
Symmetry
Volume 13
Issue 9
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
Autor:
Sergei P. Sidorov, Sergei V. Mironov
Publikováno v:
Computational Mathematics and Mathematical Physics. 59:904-914
The paper studies weak greedy algorithms for finding sparse solutions of convex optimization problems in Banach spaces. We consider the concept of duality gap, the values of which are implicitly calculated at the step of choosing the direction of the
Publikováno v:
Intelligence. Innovations. Investment. :39-50
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030653507
COMPLEX NETWORKS (2)
COMPLEX NETWORKS (2)
One of the well-known phenomena of the sociological experience is the friendship paradox which states that your friends are more popular than you, on average. The friendship paradox is widely detected empirically in various complex networks including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::594b333731273256934d5b2e5ec65767
https://doi.org/10.1007/978-3-030-65351-4_36
https://doi.org/10.1007/978-3-030-65351-4_36
Autor:
Kirill Spiridinov, Sergei P. Sidorov
Publikováno v:
Mathematical Optimization Theory and Operations Research ISBN: 9783030778750
MOTOR
MOTOR
The paper examines a class of algorithms called Weak Biorthogonal Greedy Algorithms (WBGA) designed for the task of finding the approximate solution to a convex cardinality-constrained optimization problem in a Banach space using linear combinations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fb0ceb82499c6d8b2cc4c507bd907f4
https://doi.org/10.1007/978-3-030-77876-7_13
https://doi.org/10.1007/978-3-030-77876-7_13