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pro vyhledávání: '"Iori G"'
We use the theory of complex networks in order to quantitatively characterize the formation of communities in a particular financial market. The system is composed by different banks exchanging on a daily basis loans and debts of liquidity. Through t
Externí odkaz:
http://arxiv.org/abs/physics/0610108
Autor:
Iori, G., Marinari, E.
We study the dynamics of the SK model modified by a small non-hamiltonian perturbation. We study aging, and we find that on the time scales investigated by our numerical simulations it survives a small perturbation (and is destroyed by a large one).
Externí odkaz:
http://arxiv.org/abs/cond-mat/9611106
A disorder-dependent Gaussian variational approach is applied to the $d$-dimensional ferromagnetic XY model in a random field. The randomness yields a non extensive contribution to the variational free energy, implying a random mass term in correlati
Externí odkaz:
http://arxiv.org/abs/cond-mat/9512057
We study the dynamics of an heteropolymeric chain relaxing toward a new equilibrium configuration after the action of an external perturbation. We compare the results from Monte Carlo simulations with the results of a Langevin normal mode decompositi
Externí odkaz:
http://arxiv.org/abs/hep-lat/9208001
Publikováno v:
Research Policy. 52:104780
A performance-based research funding system (PRFS) is a nationwide incentive scheme that promotes and rewards university research performance through competition for government funding. The UK’s PRFS, currently the Research Excellence Framework (RE
Akademický článek
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Publikováno v:
R&D Journal; 2023, Vol. 39, p44-52, 9p
Akademický článek
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Publikováno v:
Endoscopy; 2024 Supplement 2, Vol. 56, pS8-S9, 2p
This paper compares the performance of centralized and decentralized markets experimentally. We constrain trading exchanges to happen on an exogenously predetermined network, representing the trading relationships in markets with differing levels of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::69f7c7a26fde227ef8a880b5b88ecb9a