Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Csaba Noszály"'
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 6, Iss 3, Pp 311-331 (2019)
Taylor’s power law states that the variance function decays as a power law. It is observed for population densities of species in ecology. For random networks another power law, that is, the power law degree distribution is widely studied. In this
Externí odkaz:
https://doaj.org/article/6359deadbe904beeb538dd4557817aea
Publikováno v:
Communications in Statistics - Theory and Methods. 52:4001-4020
A continuous-time network evolution model is studied. The basic units of the model are triangles describing 3-interactions. The evolution of the triangles is governed by a continuous-time branching...
Publikováno v:
Journal of Applied Probability. 56:416-440
A new network evolution model is introduced in this paper. The model is based on cooperations of N units. The units are the nodes of the network and the cooperations are indicated by directed links. At each evolution step N units cooperate, which for
Publikováno v:
Modern Stochastics: Theory and Applications. :311-331
Taylor's power law states that the variance function decays as a power law. It is observed for population densities of species in ecology. For random networks another power law, that is, the power law degree distribution is widely studied. In this pa
Autor:
Csaba Noszály
Publikováno v:
Studia Scientiarum Mathematicarum Hungarica. 50:413-422
The distance of two-dimensional samples is studied. The distance of two samples is based on the optimal matching method. Simulation results are obtained when the samples are drawn from normal and uniform distributions.
Publikováno v:
The European Physical Journal A. 51
In a cut-off Woods-Saxon (CWS) potential with realistic depth $S$-matrix poles being far from the imaginary wave number axis form a sequence where the distances of the consecutive resonances are inversely proportional with the cut-off radius value, w
A random graph evolution rule is considered. The graph evolution is based on interactions of three vertices. The weight of a clique is the number of its interactions. The asymptotic behaviour of the weights is described. It is known that the weight d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85f4c216ebbe3384d7c6761680056528
We study a continuous time network evolution model. We consider the collaboration of three individuals. In our model, it is described by three connected vertices, that is by a triangle. During the evolution new collaborations, that is new triangles a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd0cc069d1cb407586f6dd9858c52e5d
http://publikacio.uni-eszterhazy.hu/6312/
http://publikacio.uni-eszterhazy.hu/6312/