114 citations · 519 across the 25 of their papers we have counts for
25 papers
An agent-based model of the formation and evolution of common ground
Mengbin Ye, Wooseok Jung, Tony J. Mathew +2
The existence of a communal common ground is vital for collective action and coordination in a population, but the micro-level cognitive and social processes that lead to the forma…
Awareness in collective decision-making: Modeling and control in a game-theoretic framework
Mengbin Ye, Lorenzo Zino, Ming Cao
For a society to remain healthy and prosperous, people must collectively behave and act to contribute to the common good, even if there is often a tradeoff against their individual…
A Human-Vector Susceptible-Infected-Susceptible Model for Analyzing and Controlling the Spread of Vector-Borne Diseases
Lorenzo Zino, Alessandro Casu, Alessandro Rizzo
We propose an epidemic model for the spread of vector-borne diseases. The model, which is built extending the classical susceptible-infected-susceptible model, accounts for two pop…
Coevolution of Actions and Opinions in Networks of Coordinating and Anti-Coordinating Agents
Hong Liang, Mengbin Ye, Lorenzo Zino +1
In this paper, we investigate the dynamics of coordinating and anti-coordinating agents in a coevolutionary model for actions and opinions. In the model, the individuals of a popul…
Data-informed modeling of the formation, persistence, and evolution of social norms and conventions
Mengbin Ye, Lorenzo Zino
Social norms and conventions are commonly accepted and adopted behaviors and practices within a social group that guide interactions -- e.g., how to spell a word or how to greet pe…
An evidence-accumulating drift-diffusion model of competing information spread on networks
Julien Corsin, Lorenzo Zino, Mengbin Ye
In this paper, we propose an agent-based model of information spread, grounded on psychological insights on the formation and spread of beliefs. In our model, we consider a network…
Equilibrium Selection in Replicator Equations Using Adaptive-Gain Control
Lorenzo Zino, Mengbin Ye, Giuseppe Carlo Calafiore +1
In this paper, we deal with the equilibrium selection problem, which amounts to steering a population of individuals engaged in strategic game-theoretic interactions to a desired c…
Distributed Finite-Time Cooperative Localization for Three-Dimensional Sensor Networks
Jinze Wu, Lorenzo Zino, Zhiyun Lin +1
This paper addresses the distributed localization problem for a network of sensors placed in a three-dimensional space, in which sensors are able to perform range measurements, i.e…
On Adaptive-Gain Control of Replicator Dynamics in Population Games
Lorenzo Zino, Mengbin Ye, Alessandro Rizzo +1
Controlling evolutionary game-theoretic dynamics is a problem of paramount importance for the systems and control community, with several applications spanning from social science…
Modeling the Co-evolution of Climate Impact and Population Behavior: A Mean-Field Analysis
Kathinka Frieswijk, Lorenzo Zino, A. Stephen Morse +1
Motivated by the climate crisis that is currently ravaging the planet, we propose and analyze a novel framework for the evolution of anthropogenic climate impact in which the evolu…
A Polarized Temporal Network Model to Study the Spread of Recurrent Epidemic Diseases in a Partially Vaccinated Population
Kathinka Frieswijk, Lorenzo Zino, Ming Cao
Motivated by massive outbreaks of COVID-19 that occurred even in populations with high vaccine uptake, we propose a novel multi-population temporal network model for the spread of…
Coevolutionary Dynamics of Actions and Opinions in Social Networks
Hassan Dehghani Aghbolagh, Mengbin Ye, Lorenzo Zino +2
Empirical studies suggest a deep intertwining between opinion formation and decision-making processes, but these have been treated as separate problems in the study of dynamical mo…
A mean-field analysis of a network behavioural-epidemic model
Kathinka Frieswijk, Lorenzo Zino, Mengbin Ye +2
The spread of an epidemic disease and the population's collective behavioural response are deeply intertwined, influencing each other's evolution. Such a co-evolution typically has…
Population games on dynamic community networks
Alain Govaert, Lorenzo Zino, Emma Tegling
In this letter, we deal with evolutionary game theoretic learning processes for population games on networks with dynamically evolving communities. Specifically, we propose a novel…
Modelling the Effect of Vaccination and Human Behaviour on the Spread of Epidemic Diseases on Temporal Networks
Kathinka Frieswijk, Lorenzo Zino, Ming Cao
Motivated by the increasing number of COVID-19 cases that have been observed in many countries after the vaccination and relaxation of non-pharmaceutical interventions, we propose…
Optimal policy design to mitigate epidemics on networks using an SIS model
Carlo Cenedese, Lorenzo Zino, Michele Cucuzzella +1
Understanding how to effectively control an epidemic spreading on a network is a problem of paramount importance for the scientific community. The ongoing COVID-19 pandemic has hig…
Predicting the effects of waning vaccine immunity against COVID-19 through high-resolution agent-based modeling
Agnieszka Truszkowska, Lorenzo Zino, Sachit Butail +4
The potential waning of the vaccination immunity to COVID-19 could pose threats to public health, as it is tenable that the timing of such waning would synchronize with the near-co…
A multi-layer network model to assess school opening policies during the COVID-19 vaccination campaign
Christian Bongiorno, Lorenzo Zino
We propose a multi-layer network model for the spread of COVID-19 that accounts for interactions within the family, between schoolmates, and casual contacts in the population. We u…
Analysis, Prediction, and Control of Epidemics: A Survey from Scalar to Dynamic Network Models
Lorenzo Zino, Ming Cao
During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have emerged as powerful tools to produce valuable predictions of the evolution of the pandemic, hel…
A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systems
Lorenzo Zino, Mengbin Ye, Ming Cao
Motivated by the literature on opinion dynamics and evolutionary game theory, we propose a novel mathematical framework to model the intertwined coevolution of opinions and decisio…
High-resolution agent-based modeling of COVID-19 spreading in a small town
Agnieszka Truszkowska, Brandon Behring, Jalil Hasanyan +6
Amid the ongoing COVID-19 pandemic, public health authorities and the general population are striving to achieve a balance between safety and normalcy. Ever changing conditions cal…
Modelling and predicting the effect of social distancing and travel restrictions on COVID-19 spreading
Francesco Parino, Lorenzo Zino, Maurizio Porfiri +1
To date, the only effective means to respond to the spreading of COVID-19 pandemic are non-pharmaceutical interventions (NPIs), which entail policies to reduce social activity and…
Imitation dynamics in population games on community networks
Giacomo Como, Fabio Fagnani, Lorenzo Zino
We study the asymptotic behavior of deterministic, continuous-time imitation dynamics for population games over networks. The basic assumption of this learning mechanism -- encompa…
Game-theoretic modeling of collective decision-making during epidemics
Mengbin Ye, Lorenzo Zino, Alessandro Rizzo +1
The spreading dynamics of an epidemic and the collective behavioral pattern of the population over which it spreads are deeply intertwined and the latter can critically shape the o…