activity
20202026
most citedTowards a data-driven characterization of behavioral changes induced by the seasonal flu

54 citations · 104 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AI2026

Driving Epidemic Models with AI Agents: the Epydemix Agent Framework

Nicolò Gozzi, Ciro Cattuto, Alessandro Vespignani

Artificial Intelligence agents based on large language models provide convenient natural language interfaces to scientific software, but reliability is not automatic. Here we intro…

physics.soc-ph2026

Unequal changes in commuting patterns across socio-economic strata in response to pandemic restrictions

Cristiano Marinelli, Leo Ferres, Niccolò Comini +2

Commuting patterns are a central component of urban dynamics and many societal activities. Exogenous shocks, such as a pandemic, might drastically modify them inducing heterogeneou…

physics.soc-ph2025

Controlling the spread of deception-based cyber-threats on time-varying networks

Nicolò Gozzi, Nicola Perra

We study the efficacy of strategies aimed at controlling the spread of deception-based cyber-threats unfolding on online social networks. We model directed and temporal interaction…

physics.soc-ph2024

Bridging the Digital Divide: Mapping Internet Connectivity Evolution, Inequalities, and Resilience in six Brazilian Cities

Nicolò Gozzi, Niccolò Comini, Nicola Perra

We investigate the evolution of Internet speed and its implications for access to key digital services, as well as the resilience of the network during crises, focusing on six majo…

physics.soc-ph2024

Resilience of mobility network to dynamic population response across COVID-19 interventions: evidences from Chile

Pasquale Casaburi, Lorenzo Dall'Amico, Nicolò Gozzi +6

The COVID19 pandemic highlighted the importance of non-traditional data sources, such as mobile phone data, to inform effective public health interventions and monitor adherence to…

cs.CR2022★ 1 cited

Modeling Self-Propagating Malware with Epidemiological Models

Alesia Chernikova, Nicolò Gozzi, Simona Boboila +3

Self-propagating malware (SPM) has recently resulted in large financial losses and high social impact, with well-known campaigns such as WannaCry and Colonial Pipeline being able t…

cs.SI2022

Modeling Teams Performance Using Deep Representational Learning on Graphs

Francesco Carli, Pietro Foini, Nicolò Gozzi +2

The large majority of human activities require collaborations within and across formal or informal teams. Our understanding of how the collaborative efforts spent by teams relate t…

cs.CR2022★ 11 cited

Cyber Network Resilience against Self-Propagating Malware Attacks

Alesia Chernikova, Nicolò Gozzi, Simona Boboila +6

Self-propagating malware (SPM) has led to huge financial losses, major data breaches, and widespread service disruptions in recent years. In this paper, we explore the problem of d…

physics.soc-ph2022★ 2 cited

The adoption of non-pharmaceutical interventions and the role of digital infrastructure during the COVID-19 Pandemic in Colombia, Ecuador, and El Salvador

Nicolò Gozzi, Niccolò Comini, Nicola Perra

Adherence to the non-pharmaceutical interventions (NPIs) put in place to mitigate the spreading of infectious diseases is a multifaceted problem. Socio-demographic, socio-economic,…

physics.soc-ph2020★ 22 cited

Self-initiated behavioural change and disease resurgence on activity-driven networks

Nicolò Gozzi, Martina Scudeler, Daniela Paolotti +2

We consider a population that experienced a first wave of infections, interrupted by strong, top-down, governmental restrictions and did not develop a significant immunity to preve…

cs.SI2020★ 14 cited

Collective response to the media coverage of COVID-19 Pandemic on Reddit and Wikipedia

Nicolò Gozzi, Michele Tizzani, Michele Starnini +4

The exposure and consumption of information during epidemic outbreaks may alter risk perception, trigger behavioural changes, and ultimately affect the evolution of the disease. It…

physics.soc-ph2020★ 54 cited

Towards a data-driven characterization of behavioral changes induced by the seasonal flu

Nicolò Gozzi, Daniela Perrotta, Daniela Paolotti +1

In this work, we aim to determine the main factors driving behavioral change during the seasonal flu. To this end, we analyze a unique dataset comprised of 599 surveys completed by…