Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sámuel G Balogh"'
Publikováno v:
PLoS ONE, Vol 14, Iss 8, p e0220648 (2019)
Hierarchical organisation is a prevalent feature of many complex networks appearing in nature and society. A relating interesting, yet less studied question is how does a hierarchical network evolve over time? Here we take a data driven approach and
Externí odkaz:
https://doaj.org/article/274389e13449464c8a8710f8b6fa928f
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-12 (2023)
Abstract Hyperbolic network models provide a particularly successful approach to explain many peculiar features of real complex networks including, for instance, the small-world and scale-free properties, or the relatively high clustering coefficient
Externí odkaz:
https://doaj.org/article/bc2f5f70737245bea626239e8d15f956
Publikováno v:
Entropy, Vol 20, Iss 11, p 813 (2018)
Entropy appears in many contexts (thermodynamics, statistical mechanics, information theory, measure-preserving dynamical systems, topological dynamics, etc.) as a measure of different properties (energy that cannot produce work, disorder, uncertaint
Externí odkaz:
https://doaj.org/article/a34adee460d94dd6a8a54bbdf61e7161
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports
Scientific Reports
The concept of entropy connects the number of possible configurations with the number of variables in large stochastic systems. Independent or weakly interacting variables render the number of configurations scale exponentially with the number of var
Publikováno v:
Journal of Complex Networks. 8
In complex networks, the degrees of adjacent nodes may often appear dependent—which presents a modelling challenge. We present a working framework for studying networks with an arbitrary joint distribution for the degrees of adjacent nodes by showi
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
Scientific Reports
Scientific Reports
Many physical, biological or social systems are governed by history-dependent dynamics or are composed of strongly interacting units, showing an extreme diversity of microscopic behaviour. Macroscopically, however, they can be efficiently modeled by
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
The hidden variable formalism (based on the assumption of some intrinsic node parameters) turned out to be a remarkably efficient and powerful approach in describing and analyzing the topology of complex networks. Owing to one of its most advantageou
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Hyperbolic network models have gained considerable attention in recent years, mainly due to their capability of explaining many peculiar features of real-world networks. One of the most widely known models of this type is the popularity-simi
Externí odkaz:
https://doaj.org/article/d1012da82d7f43a2bf2cb752842dce5f