Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Vitor H P Louzada"'
Autor:
Vitor H P Louzada, Nuno A M Araújo, Trivik Verma, Fabio Daolio, Hans J Herrmann, Marco Tomassini
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0118635 (2015)
A robust worldwide air-transportation network (WAN) is one that minimizes the number of stranded passengers under a sequence of airport closures. Building on top of this realistic example, here we address how spatial network robustness can profit fro
Externí odkaz:
https://doaj.org/article/17ed9f68ce224bd2bc017fa582ed44ee
Publikováno v:
Scientific Reports
Scientific Reports, 3
Scientific Reports, 3
Global synchronization in a complex network of oscillators emerges from the interplay between its topology and the dynamics of the pairwise interactions among its numerous components. When oscillators are spatially separated, however, a time delay ap
Publikováno v:
Understanding Complex Systems ISBN: 9783319239453
The harmony of an orchestra emerges from the individual effort of musicians towards mutual synchronization of their tempi. When the orchestra is split between two concert halls communicating via Internet, a time delay is imposed which might hinder sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96a413baa24efabb99cf9d916ddeb326
https://doi.org/10.1007/978-3-319-23947-7_8
https://doi.org/10.1007/978-3-319-23947-7_8
Publikováno v:
Intelligent Systems Reference Library ISBN: 9783319159157
Much of our commerce and traveling depend on the efficient operation of large scale networks. Some of those, such as electric power grids, transportation systems, communication networks, and others, must maintain their efficiency even after several f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f8a9ea10b7c9df1c2d4b4f85af01ec6
https://doi.org/10.1007/978-3-319-15916-4_9
https://doi.org/10.1007/978-3-319-15916-4_9
Publikováno v:
Journal of Complex Networks
While new forms of attacks are developed every day to compromise essential infrastructures, service providers are also expected to develop strategies to mitigate the risk of extreme failures. In this context, tools of Network Science have been used t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26fc84b81dd5781d177ec0db7b543376
http://arxiv.org/abs/1303.5269
http://arxiv.org/abs/1303.5269
Publikováno v:
Scientific Reports, 2
Scopus-Elsevier
Scientific Reports
Scopus-Elsevier
Scientific Reports
Examples of synchronization can be found in a wide range of phenomena such as neurons firing, lasers cascades, chemical reactions, and opinion formation. However, in many situations the formation of a coherent state is not pleasant and should be miti
Much of our commerce and traveling depend on the efficient operation of large scale networks. Some of those, such as electric power grids, transportation systems, communication networks, and others, must maintain their efficiency even after several f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d48fccea265a011cbcca33f307d3cc1a
http://arxiv.org/abs/1207.1291
http://arxiv.org/abs/1207.1291
Publikováno v:
BCB
Emergence of robustness in biological networks is a paramount feature of evolving organisms, but a study of this property in vivo, for any level of representation such as Genetic, Metabolic, or Neuronal Networks, is a very hard challenge. In the case
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce83f4fb2512ce84b4ce6e664fed2366
Publikováno v:
GENSiPS
The stability of biological organisms is a major feature which contributes to their survival in the environment. However, the study of the stability in vivo is a very hard challenge. An objective way for the stability analysis is to adopt the Boolean
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642166860
CIARP
CIARP
This work compares two frequently used criterion functions in inference of gene regulatory networks (GRN), one based on Bayesian error and another based on conditional entropy. The network model utilized was the stochastic restricted Boolean network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3efc2c4c90c0a78ef58159abf3d8dc20
https://doi.org/10.1007/978-3-642-16687-7_23
https://doi.org/10.1007/978-3-642-16687-7_23