On imitation dynamics in potential population games. - Lorenzo Zino; Giacomo Como; Fabio Fagnani (CDC, 2017)

An analytical framework for the study of epidemic models on activity driven networks. - Lorenzo Zino; Alessandro Rizzo; Maurizio Porfiri (J. Complex Networks, 2017)

Diffusion of Innovation in Large Scale Graphs. - Fabio Fagnani; Lorenzo Zino (IEEE Trans. Netw. Sci. Eng., 2017)

On Unveiling the Community Structure of Temporal Networks. - Christian Bongiorno; Lorenzo Zino; Alessandro Rizzo (CDC, 2018)

On stochastic imitation dynamics in large-scale networks. - Lorenzo Zino; Giacomo Como; Fabio Fagnani (ECC, 2018)

Modeling Memory Effects in Activity-Driven Networks. - Lorenzo Zino; Alessandro Rizzo; Maurizio Porfiri (SIAM J. Appl. Dyn. Syst., 2018)

Effect of self-excitement and behavioral factors on epidemics on activity driven networks. - Lorenzo Zino; Alessandro Rizzo; Maurizio Porfiri (ECC, 2019)

A novel framework for community modeling and characterization in directed temporal networks. - Christian Bongiorno; Lorenzo Zino; Alessandro Rizzo (Appl. Netw. Sci., 2019)

Time to Extinction for the SIS Epidemic Model: New Bounds on the Tail Probabilities. - Lorenzo Zino (IEEE Trans. Netw. Sci. Eng., 2019)

A Coevolutionary Model for Actions and Opinions in Social Networks. - Lorenzo Zino; Mengbin Ye; Ming Cao 001 (CDC, 2020)

A multi-agent model to study epidemic spreading and vaccination strategies in an urban-like environment. - Matthieu Nadini; Lorenzo Zino; Alessandro Rizzo; Maurizio Porfiri (Appl. Netw. Sci., 2020)

Modelling epidemic dynamics under collective decision making. - Mengbin Ye; Lorenzo Zino; Alessandro Rizzo; Ming Cao 001 (CoRR, 2020)

On Assessing Control Actions for Epidemic Models on Temporal Networks. - Lorenzo Zino; Alessandro Rizzo; Maurizio Porfiri (IEEE Control. Syst. Lett., 2020)

Analysis and control of epidemics in temporal networks with self-excitement and behavioral changes. - Lorenzo Zino; Alessandro Rizzo; Maurizio Porfiri (Eur. J. Control, 2020)

Consensus Over Activity-Driven Networks. - Lorenzo Zino; Alessandro Rizzo; Maurizio Porfiri (IEEE Trans. Control. Netw. Syst., 2020)

Optimal policy design to mitigate epidemics on networks using an SIS model. - Carlo Cenedese; Lorenzo Zino; Michele Cucuzzella; Ming Cao 001 (CDC, 2021)

On modeling social diffusion under the impact of dynamic norms. - Lorenzo Zino; Mengbin Ye; Ming Cao 001 (CDC, 2021)

On imitation dynamics in population games with Markov switching. - Rafael Fernandes Cunha; Lorenzo Zino; Ming Cao 001 (ECC, 2021)

Modelling Behavioural Preferences in Epidemic Models for Sexually Transmitted Infections on Temporal Networks. - Kathinka Frieswijk; Lorenzo Zino; Ming Cao 001 (ECC, 2021)

High-resolution agent-based modeling of COVID-19 spreading in a small town. - Agnieszka Truszkowska; Brandon Behring; Jalil Hasanyan; Lorenzo Zino; Sachit Butail; Emanuele Caroppo; Zhong-Ping Jiang; Alessandro Rizzo; Maurizio Porfiri (CoRR, 2021)

A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systems. - Lorenzo Zino; Mengbin Ye; Ming Cao 001 (CoRR, 2021)

Analysis, Prediction, and Control of Epidemics: A Survey from Scalar to Dynamic Network Models. - Lorenzo Zino; Ming Cao 001 (CoRR, 2021)

A multi-layer network model to assess school opening policies during the COVID-19 vaccination campaign. - Christian Bongiorno; Lorenzo Zino (CoRR, 2021)

Predicting the effects of waning vaccine immunity against COVID-19 through high-resolution agent-based modeling. - Agnieszka Truszkowska; Lorenzo Zino; Sachit Butail; Emanuele Caroppo; Zhong-Ping Jiang; Alessandro Rizzo; Maurizio Porfiri (CoRR, 2021)

Analysis of the Heterogeneous Vectorial Network Model of Collective Motion. - Jalil Hasanyan; Lorenzo Zino; Agnieszka Truszkowska; Alessandro Rizzo; Maurizio Porfiri (IEEE Control. Syst. Lett., 2021)

Imitation Dynamics in Population Games on Community Networks. - Giacomo Como; Fabio Fagnani; Lorenzo Zino (IEEE Trans. Control. Netw. Syst., 2021)

Modelling the Effect of Vaccination and Human Behaviour on the Spread of Epidemic Diseases on Temporal Networks. - Kathinka Frieswijk; Lorenzo Zino; Ming Cao 001 (ECC, 2022)

A multi-layer network model to assess school opening policies during a vaccination campaign: a case study on COVID-19 in France. - Christian Bongiorno; Lorenzo Zino (Appl. Netw. Sci., 2022)

Activity-driven network modeling and control of the spread of two concurrent epidemic strains. - Daniel Alberto Burbano Lombana; Lorenzo Zino; Sachit Butail; Emanuele Caroppo; Zhong-Ping Jiang; Alessandro Rizzo; Maurizio Porfiri (Appl. Netw. Sci., 2022)

A Mean-Field Analysis of a Network Behavioral-Epidemic Model. - Kathinka Frieswijk; Lorenzo Zino; Mengbin Ye; Alessandro Rizzo; Ming Cao 001 (IEEE Control. Syst. Lett., 2022)

Population Games on Dynamic Community Networks. - Alain Govaert; Lorenzo Zino; Emma Tegling (IEEE Control. Syst. Lett., 2022)

Bipartite consensus for a class of nonlinear multi-agent systems under switching topologies: A disturbance observer-based approach. - Qiang Wang 043; Wangli He; Lorenzo Zino; Dayu Tan; Weimin Zhong (Neurocomputing, 2022)

Fully distributed quantized secure bipartite consensus control of nonlinear multiagent systems subject to denial-of-service attacks. - Qiang Wang 043; Lorenzo Zino; Dayu Tan; Jiapeng Xu; Weimin Zhong (Neurocomputing, 2022)

Observer-Based Secure Event-Triggered Bipartite Consensus Control of Linear Multiagent Systems Subject to Denial-of-Service Attacks. - Qiang Wang 043; Weilu Diao; Lorenzo Zino; Xin Peng 003; Weimin Zhong (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

A Pontryagin-Based Game-Theoretic Approach for Robust Nonlinear Model Predictive Control. - Michele Pagone; Lorenzo Zino; Carlo Novara (CDC, 2023)

On Adaptive-Gain Control of Replicator Dynamics in Population Games. - Lorenzo Zino; Mengbin Ye; Alessandro Rizzo; Giuseppe Carlo Calafiore (CDC, 2023)

Distributed Finite-Time Cooperative Localization for Three-Dimensional Sensor Networks. - Jinze Wu; Lorenzo Zino; Zhiyun Lin; Alessandro Rizzo (CoRR, 2023)

The Impact of Deniers on Epidemics: A Temporal Network Model. - Lorenzo Zino; Alessandro Rizzo; Maurizio Porfiri (IEEE Control. Syst. Lett., 2023)

Dynamic planning of a two-dose vaccination campaign with uncertain supplies. - Giuseppe Carlo Calafiore; Francesco Parino; Lorenzo Zino; Alessandro Rizzo (Eur. J. Oper. Res., 2023)

A Polarized Temporal Network Model to Study the Spread of Recurrent Epidemic Diseases in a Partially Vaccinated Population. - Kathinka Frieswijk; Lorenzo Zino; Ming Cao 001 (IEEE Trans. Netw. Sci. Eng., 2023)

Fast Spread in Controlled Evolutionary Dynamics. - Lorenzo Zino; Giacomo Como; Fabio Fagnani (IEEE Trans. Control. Netw. Syst., 2023)

Coevolutionary Dynamics of Actions and Opinions in Social Networks. - Hassan Dehghani Aghbolagh; Mengbin Ye; Lorenzo Zino; Zhiyong Chen 001; Ming Cao 001 (IEEE Trans. Autom. Control., 2023)

Generalized Nash equilibrium problems under partial-decision information with biased agents. - Barbara Franci; Filippo Fabiani; Lorenzo Zino (CDC, 2024)

On Controlling a Coevolutionary Model of Actions and Opinions. - Roberta Raineri; Giacomo Como; Fabio Fagnani; Mengbin Ye; Lorenzo Zino (CDC, 2024)

On a Susceptible-Infected-Susceptible Epidemic Model with Reactive Behavioral Response on Higher-Order Temporal Networks. - Lorenzo Zino; Alessandro Rizzo (CDC, 2024)

Equilibrium Selection in Replicator Equations Using Adaptive-Gain Control. - Lorenzo Zino; Mengbin Ye; Giuseppe Carlo Calafiore; Alessandro Rizzo (CoRR, 2024)

An evidence-accumulating drift-diffusion model of competing information spread on networks. - Julien Corsin; Lorenzo Zino; Mengbin Ye (CoRR, 2024)

Data-informed modeling of the formation, persistence, and evolution of social norms and conventions. - Mengbin Ye; Lorenzo Zino (CoRR, 2024)

On modeling collective risk perception via opinion dynamics. - Lorenzo Zino; Francesca Giardini; Daniele Vilone; Ming Cao 001 (Eur. J. Control, 2024)

Modeling and analyzing competitive epidemic diseases with partial and waning virus-specific and cross-immunity. - Lorenzo Zino; Mengbin Ye; Brian D. O. Anderson (IFAC J. Syst. Control., 2024)

Effect of Network Structure and Committed Minority Placement in Promoting Social Diffusion. - Tianshu Gao; Lorenzo Zino; Mengbin Ye (IEEE Trans. Comput. Soc. Syst., 2024)

Identification of piecewise constant parameters in nonlinear models. - Giuseppe Carlo Calafiore; Giulia Fracastoro; Lorenzo Zino (Eur. J. Control, 2025)

An opinion dynamics approach to model and analyze the behavior of consumers in an energy network. - Vaibhav Kumar Singh; Lorenzo Zino; Gabriel Muinos; Jacquelien M. A. Scherpen; Michele Cucuzzella (Eur. J. Control, 2025)

Coevolution of actions and opinions in networks of coordinating and anti-coordinating agents. - Hong Liang; Mengbin Ye; Lorenzo Zino; Weiguo Xia (IFAC J. Syst. Control., 2025)

FJ-MM: The Friedkin-Johnsen Opinion Dynamics Model with Memory and Higher-Order Neighbors. - Roberta Raineri; Lorenzo Zino; Anton Proskurnikov (CoRR, 2025)

Controlling a Social Network of Individuals with Coevolving Actions and Opinions. - Roberta Raineri; Giacomo Como; Fabio Fagnani; Mengbin Ye; Lorenzo Zino (CoRR, 2025)

Sociodynamics-inspired Adaptive Coalition and Client Selection in Federated Learning. - Alessandro Licciardi; Roberta Raineri; Anton Proskurnikov; Lamberto Rondoni; Lorenzo Zino (CoRR, 2025)