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pro vyhledávání: '"Williams, Oliver E."'
Temporal networks are widely used models for describing the architecture of complex systems. Network memory -- that is the dependence of a temporal network's structure on its past -- has been shown to play a prominent role in diffusion, epidemics and
Externí odkaz:
http://arxiv.org/abs/2004.12784
Many of the biological, social and man-made networks around us are inherently dynamic, with their links switching on and off over time. The evolution of these networks is often non-Markovian, and the dynamics of their links correlated. Hence, to accu
Externí odkaz:
http://arxiv.org/abs/1909.08134
Recent studies in the science of success have shown that the highest-impact works of scientists or artists happen randomly and uniformly over the individual's career. Yet in certain artistic endeavours, such as acting in films and TV, having a job is
Externí odkaz:
http://arxiv.org/abs/1901.01392
Many biological, social and man-made systems are better described in terms of temporal networks, i.e. networks whose links are only present at certain points in time, rather than by static ones. In particular, it has been found that non-Markovianity
Externí odkaz:
http://arxiv.org/abs/1810.05240
Publikováno v:
Physical Review E. 105
Many of the biological, social and man-made networks around us are inherently dynamic, with their links switching on and off over time. The evolution of these networks is often non-Markovian, and the dynamics of their links correlated. Hence, to accu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d51212150a39383f0c170e21c9bed279
https://doi.org/10.1103/physreve.105.034301
https://doi.org/10.1103/physreve.105.034301
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Digibug. Repositorio Institucional de la Universidad de Granada
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
Nature Communications
Williams, O E, Lacasa, L, Millán, A P & Latora, V 2022, ' The shape of memory in temporal networks ', Nature Communications, vol. 13, no. 1, 499 . https://doi.org/10.1038/s41467-022-28123-z
Nature Communications, 13(1):499. Nature Publishing Group UK
instname
Digibug. Repositorio Institucional de la Universidad de Granada
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
Nature Communications
Williams, O E, Lacasa, L, Millán, A P & Latora, V 2022, ' The shape of memory in temporal networks ', Nature Communications, vol. 13, no. 1, 499 . https://doi.org/10.1038/s41467-022-28123-z
Nature Communications, 13(1):499. Nature Publishing Group UK
L.L. acknowledges support from EPSRC ECF EP/P01660X/1 and the Spanish State Research Agency through the Severo Ochoa and Maria de Maeztu Program for Centers and Units of Excellence in R&D (MDM-2017-0711). A.P.M. is supported by ZonMw and the Dutch Ep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fff8cd3dc17833abf509cce51c24280
http://hdl.handle.net/10481/72904
http://hdl.handle.net/10481/72904
Autor:
Delaney, Paudie K., Brohan, Janette, Bhakta, Pradipta, Singh, Umesh, Williams, Oliver E., Gormley, Conor, Sivadasan, Praveen C., O'Brien, Brian
Publikováno v:
In Journal of Clinical Anesthesia December 2020 67
Akademický článek
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Publikováno v:
New Journal of Physics
Many biological, social and man-made systems are better described in terms of temporal networks, i.e. networks whose links are only present at certain points in time, rather than by static ones. In particular, it has been found that non-Markovianity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78ad80ec9458a4ecf687dd318565f623