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pro vyhledávání: '"��dor, G��za"'
Autor:
��dor, G��za
Power-law (PL) time dependent infection growth has been reported in many COVID-19 statistics. In simple SIR models the number of infections grows at the outbreak as $I(t) \propto t^{d-1}$ on $d$-dimensional Euclidean lattices in the endemic phase or
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https://explore.openaire.eu/search/publication?articleId=doi_________::b5a2689ad6e72d13e87e71944eb3c2e5
Autor:
��dor, G��za, Hartmann, B��lint
Power-law distributed cascade failures are well known in power-grid systems. Understanding this phenomena has been done by various DC threshold models, self-tuned at their critical point. Here we attempt to describe it using an AC threshold model, wi
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https://explore.openaire.eu/search/publication?articleId=doi_________::57d6d8dec27e42d0238aa1b49d5e33b9
Autor:
��dor, G��za, de Simoni, Beatriz
In $d > 2$ dimensional, homogeneous threshold models discontinuous transition occur, but the mean-field solution provides $1/t$ power-law activity decay and other power-laws, thus it is called mixed-order or hybrid type. It has recently been shown th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b470ff6f5432a67ceee24ff6bc0a723
Autor:
��dor, G��za, Hartmann, B��lint
We have compared the phase synchronization transition of the second order Kuramoto model on 2D lattices and on large, synthetic power grid networks, generated from real data. The latter are weighted, hierarchical modular networks. Due to the inertia
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https://explore.openaire.eu/search/publication?articleId=doi_________::f6f5c7b74b828f22e11cf5c4cdb8e7c5
Autor:
��dor, G��za
I provide numerical evidence for the robustness of the Griffiths phase (GP) reported previously in dynamical threshold model simulations on a large human brain network with N=836733 connected nodes. The model, with equalized network sensitivity, is e
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https://explore.openaire.eu/search/publication?articleId=doi_________::fbc834297a49a5c080f24888d1a76aaf
Autor:
��dor, G��za
Extended numerical simulations of threshold models have been performed on a human brain network with N=836733 connected nodes available from the Open Connectome project. While in case of simple threshold models a sharp discontinuous phase transition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0c75d92a197de7be148afb96e75998a
Autor:
Gastner, Michael T., ��dor, G��za
The structural human connectome (i.e.\ the network of fiber connections in the brain) can be analyzed at ever finer spatial resolution thanks to advances in neuroimaging. Here we analyze several large data sets for the human brain network made availa
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https://explore.openaire.eu/search/publication?articleId=doi_________::3458a0df239c41c189751c58be2dcc97
Autor:
��dor, G��za
Effects of heterogeneity in the suspected-infected-susceptible model on networks are investigated using quenched mean-field theory. The emergence of localization is described by the distributions of the inverse participation ratio and compared with t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07afc8d6a0037a8437cf5ff657c2dcdc
Autor:
��dor, G��za
Bursty dynamics of agents is shown to appear at criticality or in extended Griffiths phases, even in case of Poisson processes. I provide numerical evidence for power-law type of inter-communication time distributions by simulating the Contact Proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54c4b0164f6cfe3ad8c1e541b563e448
Autor:
��dor, G��za
I extend a previous work to Susceptible-Infected-Susceptible (SIS) models on weighted Barab��si-Albert scale-free networks. Numerical evidence is provided that phases with slow, power-law dynamics emerge as the consequence of quenched disorder an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6041369664e177bed1a28572325d6cf3