activity
20172022
most cited(geo)graphs - Complex Networks as a shapefile of nodes and a shapefile of edges for different applications

8 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SI2022

Precipitation event-based networks: an analysis of the relations between network metrics and meteorological properties

Aurelienne A. S. Jorge, Douglas Uba, Alex A. Fernandes +2

The study of complex systems in nature is essential to understand the interactions between different elements and how they influence one another. Complex network theory is a powerf…

physics.soc-ph2022

Flood risk map from hydrological and mobility data: a case study in São Paulo (Brazil)

Lívia Rodrigues Tomás, Giovanni Guarnieri Soares, Aurelienne A. S. Jorge +3

Cities increasingly face flood risk primarily due to extensive changes of the natural land cover to built-up areas with impervious surfaces. In urban areas, flood impacts come main…

cs.SI2022

Global-threshold and backbone high-resolution weather radar networks are significantly complementary in a watershed

Aurelienne A. S. Jorge, Iuri da Silva Diniz, Vander L. S. Freitas +2

There are several criteria for building up networks from time series related to different points in geographical space. The most used criterion is the Global-Threshold (GT). Using…

physics.soc-ph2020

Vulnerability analysis in Complex Networks under a Flood Risk Reduction point of view

Leonardo B. L. Santos, Giovanni G. Soares, Tanishq Garg +7

The measurement and mapping of transportation network vulnerability to natural hazards constitute subjects of global interest, especially due to climate change, and for a sustainab…

cs.OH2017★ 8 cited

(geo)graphs - Complex Networks as a shapefile of nodes and a shapefile of edges for different applications

Leonardo B L Santos, Aurelienne A S Jorge, Marcio Rossato +4

Spatial dependency and spatial embedding are basic physical properties of many phenomena modeled by networks. The most indicated computational environment to deal with spatial info…