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Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks
(Nature Publishing Group, 2017-11)
Species establish different interactions (e.g. antagonistic, mutualistic) with multiple species, forming multilayer ecological networks. Disentangling network co-structure in multilayer networks is crucial to predict how ...
Immunization strategy for epidemic spreading on multilayer networks
(Europhysics Letters, 2015-01)
In many real-world complex systems, individuals have many kinds of interactions among them, suggesting that it is necessary to consider a layered-structure framework to model systems such as social interactions. This ...
Account classification in online social networks with LBCA and wavelets
(2016-03-01)
We developed a wavelet-based approach for account classification that detects textual dissemination by bots on an Online Social Network (OSN). Its main objective is to match account patterns with humans, cyborgs or robots, ...
Dynamics of multilayer networks with amplification
(2020-12-01)
We study the dynamics of a multilayer network of chaotic oscillators subject to amplification. Previous studies have proven that multilayer networks present phenomena such as synchronization, cluster, and chimera states. ...
ECG arrhythmia classification based on optimum-path forest
(2013-07-01)
An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists ...
Rainfall prediction methodology with binary multilayer perceptron neural networks
(2019-02-15)
Precipitation, in short periods of time, is a phenomenon associated with high levels of uncertainty and variability. Given its nature, traditional forecasting techniques are expensive and computationally demanding. This ...
Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens
(Poultry Science Assoc Inc, 2011-03-01)
Neural networks are capable of modeling any complex function and can be used in the poultry and animal production areas. The aim of this study was to investigate the possibility of using neural networks on an egg production ...
Comparison of Regression and Neural Networks Models to Estimate Solar Radiation
(Instituto de Investigaciones Agropecuarias, INIA, 2010)
Epidemic model with isolation in multilayer networks
(Nature Publishing Group, 2015-07)
The Susceptible-Infected-Recovered ($SIR$) model has successfully mimicked the propagation of such airborne diseases as influenza A (H1N1). Although the $SIR$ model has recently been studied in a multilayer networks ...