|
|
|
|
|
Çigdem Ak, Alex D. Chitsazan, Mehmet Gönen, Ruth Etzioni and Aaron J. Grossberg
The impact of COVID-19 across the United States (US) has been heterogeneous, with rapid spread and greater mortality in some areas compared with others. We used geographically-linked data to test the hypothesis that the risk for COVID-19 was defined by l...
ver más
|
|
|
|
|
|
|
|
|
Annetta Burger, William G. Kennedy and Andrew Crooks
Increasingly urbanized populations and climate change have shifted the focus of decision makers from economic growth to the sustainability and resilience of urban infrastructure and communities, especially when communities face multiple hazards and need ...
ver más
|
|
|
|
|
|
|
|
|
Stefano Guarino, Enrico Mastrostefano, Massimo Bernaschi, Alessandro Celestini, Marco Cianfriglia, Davide Torre and Lena Rebecca Zastrow
The definition of suitable generative models for synthetic yet realistic social networks is a widely studied problem in the literature. By not being tied to any real data, random graph models cannot capture all the subtleties of real networks and are ina...
ver más
|
|
|
|
|
|
|
|
|
Francisco Bahamonde-Birke
Pág. 521 - 535
Spatial dependence plays a key role in all phenomena involving the geographic space, such as the social processes associated with transport and land use. Nevertheless, spatial dependence in multinomial discrete models has not received the same level of a...
ver más
|
|
|
|
|
|
|
|
|
Massimo Stella, Valerio Restocchi and Simon De Deyne
The COVID-19 pandemic forced countries all over the world to take unprecedented measures, like nationwide lockdowns. To adequately understand the emotional and social repercussions, a large-scale reconstruction of how people perceived these unexpected ev...
ver más
|
|
|
|