Modelling and predicting the effect of social distancing and travel restrictions on COVID-19 spreading F Parino, L Zino, M Porfiri, A Rizzo Journal of the Royal Society Interface 18 (175), 20200875, 2021 | 87 | 2021 |
Analysis, prediction, and control of epidemics: A survey from scalar to dynamic network models L Zino, M Cao IEEE Circuits and Systems Magazine 21 (4), 4-23, 2021 | 75 | 2021 |
High‐Resolution Agent‐Based Modeling of COVID‐19 Spreading in a Small Town A Truszkowska, B Behring, J Hasanyan, L Zino, S Butail, E Caroppo, ... Advanced theory and simulations 4 (3), 2000277, 2021 | 73* | 2021 |
Continuous-time discrete-distribution theory for activity-driven networks L Zino, A Rizzo, M Porfiri Physical review letters 117 (22), 228302, 2016 | 59 | 2016 |
Game-theoretic modeling of collective decision making during epidemics M Ye, L Zino, A Rizzo, M Cao Physical Review E 104 (2), 024314, 2021 | 48* | 2021 |
A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systems L Zino, M Ye, M Cao Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (8), 2020 | 44 | 2020 |
Modeling memory effects in activity-driven networks L Zino, A Rizzo, M Porfiri SIAM Journal on Applied Dynamical Systems 17 (4), 2830-2854, 2018 | 43 | 2018 |
An analytical framework for the study of epidemic models on activity driven networks L Zino, A Rizzo, M Porfiri Journal of Complex Networks 5 (6), 924-952, 2017 | 42 | 2017 |
A model predictive control approach to optimally devise a two‐dose vaccination rollout: a case study on COVID‐19 in Italy F Parino, L Zino, GC Calafiore, A Rizzo International journal of robust and nonlinear control 33 (9), 4808-4823, 2023 | 36 | 2023 |
Collective patterns of social diffusion are shaped by individual inertia and trend-seeking M Ye, L Zino, Ž Mlakar, JW Bolderdijk, H Risselada, BM Fennis, M Cao Nature communications 12 (1), 5698, 2021 | 36 | 2021 |
Bipartite consensus for a class of nonlinear multi-agent systems under switching topologies: A disturbance observer-based approach Q Wang, W He, L Zino, D Tan, W Zhong Neurocomputing 488, 130-143, 2022 | 33 | 2022 |
Imitation dynamics in population games on community networks G Como, F Fagnani, L Zino IEEE Transactions on Control of Network Systems 8 (1), 65-76, 2020 | 33 | 2020 |
On imitation dynamics in potential population games L Zino, G Como, F Fagnani 2017 ieee 56th annual conference on decision and control (cdc), 757-762, 2017 | 26 | 2017 |
A multi-agent model to study epidemic spreading and vaccination strategies in an urban-like environment M Nadini, L Zino, A Rizzo, M Porfiri Applied Network Science 5, 1-30, 2020 | 24 | 2020 |
On assessing control actions for epidemic models on temporal networks L Zino, A Rizzo, M Porfiri IEEE Control Systems Letters 4 (4), 797-802, 2020 | 24 | 2020 |
Diffusion of innovation in large scale graphs F Fagnani, L Zino IEEE Transactions on Network Science and Engineering 4 (2), 100-111, 2017 | 20 | 2017 |
Consensus over activity-driven networks L Zino, A Rizzo, M Porfiri IEEE Transactions on Control of Network Systems 7 (2), 866-877, 2019 | 18 | 2019 |
Time to extinction for the SIS epidemic model: New bounds on the tail probabilities F Fagnani, L Zino IEEE Transactions on Network Science and Engineering 6 (1), 74-81, 2017 | 17 | 2017 |
A mean-field analysis of a network behavioral–epidemic model K Frieswijk, L Zino, M Ye, A Rizzo, M Cao IEEE Control Systems Letters 6, 2533-2538, 2022 | 15 | 2022 |
Designing the Safe Reopening of US Towns Through High‐Resolution Agent‐Based Modeling A Truszkowska, M Thakore, L Zino, S Butail, E Caroppo, ZP Jiang, ... Advanced theory and simulations 4 (9), 2100157, 2021 | 15 | 2021 |