292 citations · 583 across the 17 of their papers we have counts for
17 papers
Uncovering socioeconomic gaps in mobility reduction during the COVID-19 pandemic using location data
Samuel P. Fraiberger, Pablo Astudillo, Lorenzo Candeago +8
Using smartphone location data from Colombia, Mexico, and Indonesia, we investigate how non-pharmaceutical policy interventions intended to mitigate the spread of the COVID-19 pand…
Assessing the interplay between human mobility and mosquito borne diseases in urban environments
Emanuele Massaro, Daniel Kondor, Carlo Ratti
Urbanization drives the epidemiology of infectious diseases to many threats and new challenges. In this research, we study the interplay between human mobility and dengue outbreaks…
A Self-Organized Method for Computing the Epidemic Threshold in Computer Networks
Franco Bagnoli, Emanuele Bellini, Emanuele Massaro
In many cases, tainted information in a computer network can spread in a way similar to an epidemics in the human world. On the other had, information processing paths are often re…
Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment
Umberto Fugiglando, Emanuele Massaro, Paolo Santi +5
Cars can nowadays record several thousands of signals through the CAN bus technology and potentially provide real-time information on the car, the driver and the surrounding enviro…
Resilience management during large-scale epidemic outbreaks
Emanuele Massaro, Alexander Ganin, Nicola Perra +2
Assessing and managing the impact of large-scale epidemics considering only the individual risk and severity of the disease is exceedingly difficult and could be extremely expensiv…
Choosing the right home location definition method for the given dataset
Iva Bojic, Emanuele Massaro, Alexander Belyi +2
Ever since first mobile phones equipped with GPS came to the market, knowing the exact user location has become a holy grail of almost every service that lives in the digital world…
Operational resilience: concepts, design and analysis
Alexander A. Ganin, Emanuele Massaro, Alexander Gutfraind +5
Building resilience into today's complex infrastructures is critical to the daily functioning of society and its ability to withstand and recover from natural disasters, epidemics,…
Predicting Regional Economic Indices using Big Data of Individual Bank Card Transactions
Stanislav Sobolevsky, Emanuele Massaro, Iva Bojic +2
For centuries quality of life was a subject of studies across different disciplines. However, only with the emergence of a digital era, it became possible to investigate this topic…
Epidemic spreading and risk perception in multiplex networks: a self-organized percolation method
Franco Bagnoli, Emanuele Massaro
In this paper we study the interplay between epidemic spreading and risk perception on multiplex networks. The basic idea is that the effective infection probability is affected by…
Hierarchical community structure in complex (social) networks
Emanuele Massaro, Franco Bagnoli
The investigation of community structure in networks is a task of great importance in many disciplines, namely physics, sociology, biology and computer science where systems are of…
Impact of local information in growing networks
Emanuele Massaro, Henrik Olsson, Andrea Guazzini +1
We present a new model of the evolutionary dynamics and the growth of on-line social networks. The model emulates people's strategies for acquiring information in social networks,…
Application of a cognitive-inspired algorithm for detecting communities in mobility networks
Emanuele Massaro, Lorenzo Valerio, Andrea Guazzini +2
The emergence and the global adaptation of mobile devices has influenced human interactions at the individual, community, and social levels leading to the so called Cyber-Physical…
Modeling Risk Perception in Networks with Community Structure
Franco Bagnoli, Daniel Borkmann, Andrea Guazzini +2
We study the influence of global, local and community-level risk perception on the extinction probability of a disease in several models of social networks. In particular, we study…
A computational toy model for shallow landslides: Molecular Dynamics approach
Gianluca Martelloni, Franco Bagnoli, Emanuele Massaro
The aim of this paper is to propose a 2D computational algorithm for modeling of the trigger and the propagation of shallow landslides caused by rainfall. We used a Molecular Dynam…
A cognitive-inspired model for self-organizing networks
Daniel Borkmann, Andrea Guazzini, Emanuele Massaro +1
In this work we propose a computational scheme inspired by the workings of human cognition. We embed some fundamental aspects of the human cognitive system into this scheme in orde…
Community-detection cellular automata with local and long-range connectivity
Franco Bagnoli, Andrea Guazzini, Emanuele Massaro
We explore a community-detection cellular automata algorithm inspired by human heuristics, based on information diffusion and a non-linear processing phase with a dynamics inspired…
Information dynamics algorithm for detecting communities in networks
E. Massaro, A. Guazzini, F. Bagnoli +1
The problem of community detection is relevant in many scientific disciplines, from social science to statistical physics. Given the impact of community detection in many areas, su…