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Robôs, redes sociais e política no Brasil: estudo sobre interferências ilegítimas no debate público na web, riscos à democracia e processo eleitoral de 2018
(FGV DAPP, 2017-08-20)
It is evident that social networks have the merit of sparking debates and amplifying voices in a space that allows for large repercussion. • Several studies show how Twitter, Facebook, among other platforms, by enabling ...
Structural and longitudinal analysis of the knowledge base on spin-off research
(Springer, 2017-07)
Following the dynamism in spin-off research, in this study we conduct a structural and longitudinal bibliometric analysis of a sample of 812 articles on spin-offs published in 234 journals included in the ISI Web of Knowledge ...
The reward-attention circuit model: nicotine's influence on attentional focus and consequences on attention deficit hyperactivity disorder
(Elsevier Science Bv, 2017-06-14)
In this work we investigate the influence that nicotine exerts on attention focusing, modeling the coupling of reward and thalamocortical circuits. Each neuron in the neural networks that replicate such circuits is described ...
Utilização de machine learning para categorização dos gastos de bitcoin no Brasil
(2017-05-05)
A criptomoeda Bitcoin trouxe inovação para o sistema de pagamento internacional, proporcionando uma maneira simples de transferir fundos ao redor do mundo com um certo grau de anonimato. Com isso, também tornou mais fácil ...
Como a indústria de notícias falsas dominou a eleição da França
(O Globo, 2017-04-20)
Análise de sentimento para textos curtos
(2017-03-10)
A huge number of short informal messages are posted every day in social network sites, discussion forums and customer surveys. Emotions seem to be frequently important in these texts. The challenge of identifying and ...
Locally Linearized methods for the simulation of stochastic oscillators driven by random forces
(Springer, 2017-03)
In this work, the performance of Locally Linearized integrators for the numerical simulation of stochastic oscillators driven by random forces is studied. This includes the reproduction of a number of dynamical properties ...
A bitstring approach for implementing agent-based epidemiological models
(Ios Press, 2017)
Agent-based Models (ABM) are gaining importance over traditional epidemiological modeling due to advances in computing technology and by the need for detailed epidemiological analysis of emergent diseases. Unfortunately, ...
