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Avoiding catastrophic failure in correlated network of networks
(Nature Publishing Group, 2014-09)
Networks in nature do not act in isolation, but instead exchange information and depend on one another to function properly1–3 . Theory has shown that connecting random networks may very easily result in abrupt failures3–6. ...
Robustness of a meta-network to alternative habitat loss scenarios
(Wiley Blackwell Publishing, Inc, 2020-10)
Studying how habitat loss affects the tolerance of ecological networks to species extinction (i.e. their robustness) is key for our understanding of the influence of human activities on natural ecosystems. With networks ...
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 ...
Cascading failures in complex networks
(Oxford University Press, 2020-04)
Cascading failure is a potentially devastating process that spreads on real-world complex networks and can impact the integrity of wide-ranging infrastructures, natural systems and societal cohesiveness. One of the essential ...
Modelo emp??rico para analisar a robustez de redes sem??nticas
(Faculdade de Educa????oDoutorado Multi-institucional e Multidisciplinar em Difus??o do ConhecimentoUFBA/Facedbrasil, 2017-01-19)
Deep neural network approaches for Spanish sentiment analysis of short texts
(Springer Verlag, 2018)
Sentiment Analysis has been extensively researched in the last years. While important theoretical and practical results have been obtained, there is still room for improvement. In particular, when short sentences and low ...
An ANOVA approach for statistical comparisons of brain networks
(Nature Publishing Group, 2018-12)
The study of brain networks has developed extensively over the last couple of decades. By contrast, techniques for the statistical analysis of these networks are less developed. In this paper, we focus on the statistical ...