The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks
Abstract Models of networks play a major role in explaining and reproducing empirically
observed patterns. Suitable models can be used to randomize an observed network while …
observed patterns. Suitable models can be used to randomize an observed network while …
Epidemic risk assessment from geographic population density
The geographic distribution of the population on a region is a significant ingredient in
shaping the spatial and temporal evolution of an epidemic outbreak. Heterogeneity in the …
shaping the spatial and temporal evolution of an epidemic outbreak. Heterogeneity in the …
Scaling Expected Force: Efficient Identification of Key Nodes in Network-Based Epidemic Models
PS Labini, A Jurco, M Ceccarello… - … and Network-Based …, 2024 - ieeexplore.ieee.org
Structural centrality measures are often used to approximate or predict dynamical influence
in a network. The recently proposed Expected Force of Infection (ExF) measures the entropy …
in a network. The recently proposed Expected Force of Infection (ExF) measures the entropy …
The Hyperbolic Geometric Block Model and Networks with Latent and Explicit Geometries
In hyperbolic geometric networks the vertices are embedded in a latent metric space and the
edge probability depends on the hyperbolic distance between the nodes. These models …
edge probability depends on the hyperbolic distance between the nodes. These models …