نتایج جستجو برای: multiplex network
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Background and Aims: World Health Organization Global Polio Laboratory Network (GPLN) plays a critical role in the Global Polio Eradication Initiative. Cell culture methods (mostly RD and L20B cell lines) have been used for Enteroviruses and polioviruses isolation, respectively. Cross-contamination among L20B and RD cell lines causes the problem in accuracy of poliovirus surveillance and decrea...
Typical brain networks consist of many peripheral regions and a few highly central ones, i.e., hubs, playing key functional roles in cerebral inter-regional interactions. Studies have shown that networks, obtained from the analysis of specific frequency components of brain activity, present peculiar architectures with unique profiles of region centrality. However, the identification of hubs in ...
Many multiplex networks are embedded in space, with links more likely to exist between nearby nodes than distant nodes. For example, interdependent infrastructure networks can be represented as multiplex networks, where each layer has links among nearby nodes. Here, we model the effect of spatiality on the robustness of a multiplex network embedded in 2-dimensional space, where links in each la...
We investigate the performance of some homogenous first and second generation panel unit root tests under alternative forms of cross sectional dependence. We formalize contemporaneous correlation through factor models, spatial autoregressive error models and combinations thereof. Our findings confirm that while the first generation test of Levin, Lin, and Chu (2002) suffers from substantial siz...
Knowledge is created and transmitted through generations, and innovation is often seen as a process generated from collective intelligence. There is rising interest in studying how innovation emerges from the blending of accumulated knowledge, and from which path an innovation mostly inherits. A citation network can be seen as a perfect example of one generative process leading to innovation. H...
Our understanding of a variety of phenomena in physics, biology and economics crucially depends on the analysis of multivariate time series. While a wide range tools and techniques for time series analysis already exist, the increasing availability of massive data structures calls for new approaches for multidimensional signal processing. We present here a non-parametric method to analyse multi...
Analysis and quantification of brain structural changes, using Magnetic resonance imaging (MRI), are increasingly used to define novel biomarkers of brain pathologies, such as Alzheimer’s disease (AD). Network-based models of the brain have shown that both local and global topological properties can reveal patterns of disease propagation. On the other hand, intra-subject descriptions cannot exp...
ABSTRACT Any kind of transportation system, from trains, to buses and ights, can be modeled as networks. In biology, networks capture the complex interplay between phenotypes and genotypes. More recently, people and organizations heavily interact with one another using several media (e.g. social media platforms, e-Mail, instant text and voice messages), giving rise to correlated communication ...
Biased random walks on complex networks are a particular type of walks whose motion is biased on properties of the destination node, such as its degree. In recent years they have been exploited to design efficient strategies to explore a network, for instance by constructing maximally mixing trajectories or by sampling homogeneously the nodes. In multiplex networks, the nodes are related throug...
The WDM network is an optical network to employ the wavelength division multiplex WDM technology. This technology provides transmission of data on different optical wavelengths through the same optical fiber. We will concentrate on WDM network only, where each wavelength corresponds to a data communication channel. Moreover, we deal with all-optical networks. In these networks, the optical sign...
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