Zobrazeno 1 - 10
of 1 475
pro vyhledávání: '"Papo, D."'
Autor:
Sendiña-Nadal, I., Leyva, I., Perc, M., Papo, D., Jusup, M., Wang, Z., Almendral, J. A., Manshour, P., Boccaletti, S.
Publikováno v:
Phys. Rev. Research 2, 043168 (2020)
Evolutionary games provide the theoretical backbone for many aspects of our social life: from cooperation to crime, from climate inaction to imperfect vaccination and epidemic spreading, from antibiotics overuse to biodiversity preservation. An impor
Externí odkaz:
http://arxiv.org/abs/2006.09798
Today the human brain can be modeled as a graph where nodes represent different regions and links stand for statistical interactions between their activities as recorded by different neuroimaging techniques. Empirical studies have lead to the hypothe
Externí odkaz:
http://arxiv.org/abs/1710.11413
The increasing power of computer technology does not dispense with the need to extract meaningful in- formation out of data sets of ever growing size, and indeed typically exacerbates the complexity of this task. To tackle this general problem, two m
Externí odkaz:
http://arxiv.org/abs/1604.08816
Autor:
Sevilla-Escoboza, R., Buldú, J. M., Boccaletti, S., Papo, D., Hwang, D. -U., Huerta-Cuellar, G., Gutiérrez, R.
Publikováno v:
Physica A 448, 113 (2016)
Maximally synchronizable networks (MSNs) are acyclic directed networks that maximize synchronizability. In this paper, we investigate the feasibility of transforming networks of coupled oscillators into their corresponding MSNs. By tuning the weights
Externí odkaz:
http://arxiv.org/abs/1507.02551
Many physical and biological systems can be studied using complex network theory, a new statistical physics understanding of graph theory. The recent application of complex network theory to the study of functional brain networks generated great enth
Externí odkaz:
http://arxiv.org/abs/1406.4006
In this Letter we identify the general rules that determine the synchronization properties of interconnected networks. We study analytically, numerically and experimentally how the degree of the nodes through which two networks are connected influenc
Externí odkaz:
http://arxiv.org/abs/1406.0081
Autor:
Martínez, J. H., Pastor, J. M., Ariza, P., Zanin, M., Papo, D., Maestú, F., Bajo, R., Boccaletti, S., Buldú, J. M.
Increased variability in performance has been associated with the emergence of several neurological and psychiatric pathologies. However, whether and how consistency of neuronal activity may also be indicative of an underlying pathology is still poor
Externí odkaz:
http://arxiv.org/abs/1311.4700
Autor:
Leyva, I., Sendiña-Nadal, I., Almendral, J., Navas, A., Zanin, M., Papo, D., Buldú, J. M., Boccaletti, S.
Publikováno v:
Sci Rep. 2013; 3: 1281
We introduce a condition for an ensemble of networked phase oscillators to feature an abrupt, first-order phase transition from an unsynchronized to a synchronized state. This condition is met in a very wide spectrum of situations, and for various os
Externí odkaz:
http://arxiv.org/abs/1212.0404
Autor:
Rad, A. Ajdari, Sendiña-Nadal, I., Papo, D., Zanin, M., Buldú, J. M., del Pozo, F., Boccaletti, S.
Publikováno v:
Phys. Rev. Lett. 108, 228701 (2012)
We introduce an easily computable topological measure which locates the effective crossover between segregation and integration in a modular network. Segregation corresponds to the degree of network modularity, while integration is expressed in terms
Externí odkaz:
http://arxiv.org/abs/1206.3403