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A data-driven kinetic model for opinion dynamics with social network contacts – ADDENDUM

Part of: From integro-differential models to data-oriented approaches for emergent phenomena

Published online by Cambridge University Press:  02 April 2024

Giacomo Albi ,
Elisa Calzola  and
Giacomo Dimarco
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Abstract

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Information

Type
Addendum
Information
European Journal of Applied Mathematics , Volume 36 , Special Issue 2: From integro-differential models to data-oriented approaches for emergent phenomena , April 2025 , pp. 291
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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press

The following acknowledgement was omitted from the article.

Acknowledgments. This work was supported by the Italian Ministry of University and Research (MUR) through the PRIN 2020 project (No. 2020JLWP23) “Integrated Mathematical Approaches to Socio–Epidemiological Dynamics”. The authors also thank the support of MUR-PRIN Project 2022 PNRR No. P2022JC95T, “Data-driven discovery and control of multi-scale interacting artificial agent systems”, financed by the European Union - Next Generation EU.

References

Albi, G., Calzola, E. & Dimarco, G. A data-driven kinetic model for opinion dynamics with social network contacts. European Journal of Applied Mathematics, https://doi.org/10.1017/S0956792524000068 CrossRefGoogle Scholar