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MODELING HUMAN BEHAVIOR IN COMPLEX SOCIAL AND SOCIO-TECHNICAL SYSTEMS

Modeling Human Behavior in complex social and socio-technical systems: News

Modeling diffusion of innovation and social diffusion


We studied social diffusion and diffusion of innovation. In particular, we focused on the important social-psychological role of sensitivity to dynamic norms (i.e., emerging trends at the population level), and we investigated it through experimental studies and analytically-tractable models. Then, we use our model to investigate different intervention policies to facilitate social diffusion:


For more details on social diffusion, we suggest to read the following book chapter:

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We developed a co-evolutionary models to study the interwined evolution of opinions and actions and elucidate important aspects of social systems, such as the emergence of polarization and unpopular but supported norms:​


We developed a game-theoretic model with enviromental feedback to study human decision-making concerning enviromental issues:

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We developed an opinion-dynamics model to study collective risk perception

  • Zino L., D. Vilone, F. Giardini, and M. Cao, On Modeling Collective Risk Perception via Opinion Dynamics. To appear in the Proceedings of the 2024 European Control Conference, Jun 2024, Stockholm, Sweden.


We developed an epidemic-like model to study diffusion of innovation on networks:

  • Fagnani F. and Zino L., Diffusion of innovation in large scale graphs: a mean field analysis. Proceedings of the 22nd International Symposium on Mathematical Theory of Networks and Systems, Jul 2016, Minneapolis MN, US

  • Fagnani F., and Zino L., Diffusion of innovation in large scale graphs. IEEE Transactions on Network Science and Engineering, 4(2), 100–111, 2017


We collaborated with researchers and scientists from different fields to develop models of human behavior in different applied contexts, from robot motion to pro-enviromantal change:​

Modeling Human Behavior in complex social and socio-technical systems: Text
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