@inbook{6cb505b7b6d54c3fab1416605cb66ed3,
title = "Interaction network, state space, and control in social dynamics",
abstract = "In the present chapter, we study the emergence of global patterns in large groups in first- and second-order multiagent systems, focusing on two ingredients that influence the dynamics: the interaction network and the state space. The state space determines the types of equilibrium that can be reached by the system. Meanwhile, convergence to specific equilibria depends on the connectivity of the interaction network and on the interaction potential. When the system does not satisfy the necessary conditions for convergence to the desired equilibrium, control can be exerted, both on finite-dimensional systems and on their mean-field limit.",
author = "Aylin Aydoğdu and Marco Caponigro and Sean McQuade and Benedetto Piccoli and {Pouradier Duteil}, Nastassia and Francesco Rossi and Emmanuel Tr{\'e}lat",
note = "Funding Information: Acknowledgements The authors acknowledge the partial support of the NSF Project “KI-Net,” DMS Grant # 1107444. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.",
year = "2017",
doi = "10.1007/978-3-319-49996-3_3",
language = "English (US)",
series = "Modeling and Simulation in Science, Engineering and Technology",
publisher = "Springer Basel",
pages = "99--140",
booktitle = "Modeling and Simulation in Science, Engineering and Technology",
}