8 citations · 23 across the 9 of their papers we have counts for
9 papers
Epidemics in a Synthetic Urban Population with Multiple Levels of Mixing
Alessandro Celestini, Francesca Colaiori, Stefano Guarino +2
Network--based epidemic models that account for heterogeneous contact patterns are extensively used to predict and control the diffusion of infectious diseases. We use census and s…
Random Hyperbolic Graphs with Arbitrary Mesoscale Structures
Stefano Guarino, Davide Torre, Enrico Mastrostefano
Real-world networks exhibit universal structural properties such as sparsity, small-worldness, heterogeneous degree distributions, high clustering, and community structures. Geomet…
When to Boost: How Dose Timing Determines the Epidemic Threshold
Alessandro Celestini, Francesca Colaiori, Stefano Guarino +3
Most vaccines require multiple doses, the first to induce recognition and antibody production and subsequent doses to boost the primary response and achieve optimal protection. We…
Scaling Expected Force: Efficient Identification of Key Nodes in Network-based Epidemic Models
Paolo Sylos Labini, Andrej Jurco, Matteo Ceccarello +3
Centrality measures are fundamental tools of network analysis as they highlight the key actors within the network. This study focuses on a newly proposed centrality measure, Expect…
The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks
Massimo Bernaschi, Alessandro Celestini, Stefano Guarino +2
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 preserving some…
Onion under Microscope: An in-depth analysis of the Tor network
Massimo Bernaschi, Alessandro Celestini, Marco Cianfriglia +3
Tor is an anonymity network that allows offering and accessing various kinds of resources, known as hidden services, while guaranteeing sender and receiver anonymity. The Tor web i…
Inferring urban social networks from publicly available data
Stefano Guarino, Enrico Mastrostefano, Massimo Bernaschi +4
The emergence of social networks and the definition of suitable generative models for synthetic yet realistic social graphs are widely studied problems in the literature. By not be…
Parallel Distributed Breadth First Search on the Kepler Architecture
Mauro Bisson, Massimo Bernaschi, Enrico Mastrostefano
We present the results obtained by using an evolution of our CUDA-based solution for the exploration, via a Breadth First Search, of large graphs. This latest version exploits at i…
GPU peer-to-peer techniques applied to a cluster interconnect
Roberto Ammendola, Massimo Bernaschi, Andrea Biagioni +11
Modern GPUs support special protocols to exchange data directly across the PCI Express bus. While these protocols could be used to reduce GPU data transmission times, basically by…