Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Mata, Angélica S."'
Autor:
de Arruda, Guilherme Ferraz, Jeub, Lucas G. S., Mata, Angélica S., Rodrigues, Francisco A., Moreno, Yamir
Rumor and information spreading are natural processes that emerge from human-to-human interaction. Mathematically, this was explored in the popular Maki-Thompson model, where a phase transition was thought to be absent. Here, we show that a second-or
Externí odkaz:
http://arxiv.org/abs/2102.11706
Autor:
Mata, Angélica S.
Dynamical systems running on the top of complex networks has been extensively investigated for decades. But this topic still remains among the most relevant issues in complex network theory due to its range of applicability. The contact process (CP)
Externí odkaz:
http://arxiv.org/abs/2010.02360
In this article we presented a brief study of the main network models with growth and preferential attachment. Such models are interesting because they present several characteristics of real systems. We started with the classical model proposed by B
Externí odkaz:
http://arxiv.org/abs/2007.01349
Publikováno v:
Phys. Rev. E 100, 042302 (2019)
Despite the great attention devoted to the study of phase oscillators on complex networks in the last two decades, it remains unclear whether scale-free networks exhibit a nonzero critical coupling strength for the onset of synchronization in the the
Externí odkaz:
http://arxiv.org/abs/1905.02256
Robustness and fragility of the susceptible-infected-susceptible epidemic models on complex networks
Publikováno v:
Phys. Rev. E 98, 012310 (2018)
We analyze two alterations of the standard susceptible-infected-susceptible (SIS) dynamics that preserve the central properties of spontaneous healing and infection capacity of a vertex increasing unlimitedly with its degree. All models have the same
Externí odkaz:
http://arxiv.org/abs/1804.08422
Publikováno v:
Phys. Rev. E 95, 042406 (2017)
The comprehension of tumor growth is a intriguing subject for scientists. New researches has been constantly required to better understand the complexity of this phenomenon. In this paper, we pursue a physical description that account for some experi
Externí odkaz:
http://arxiv.org/abs/1610.05789
Publikováno v:
Phys. Rev. E 91, 052117 (2015)
In a recent work, a new numerical method (the lifespan method) has been introduced to study the critical properties of epidemic processes on complex networks [Phys. Rev. Lett. \textbf{111}, 068701 (2013)]. Here, we present a detailed analysis of the
Externí odkaz:
http://arxiv.org/abs/1411.5835
We investigate the dynamic relaxation of random walks on temporal networks by focusing in the recently proposed activity driven model [Perra \textit{et al.} Sci. Rep. srep00469 (2012)]. For realistic activity distributions with a power-law form, we o
Externí odkaz:
http://arxiv.org/abs/1411.4601
Autor:
Mata, Angélica S., Ferreira, Silvio C.
The epidemic threshold of the susceptible-infected-susceptible (SIS) dynamics on random networks having a power law degree distribution with exponent $\gamma>3$ has been investigated using different mean-field approaches, which predict different outc
Externí odkaz:
http://arxiv.org/abs/1403.6670
Publikováno v:
New J. Phys. 16 (2014) 053006
Recent works have shown that the contact process running on the top of highly heterogeneous random networks is described by the heterogeneous mean-field theory. However, some important aspects as the transition point and strong corrections to the fin
Externí odkaz:
http://arxiv.org/abs/1402.2832