Control Strategies for Recommendation Systems in Social Networks
Fuente:
arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914709214593024 |
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| author | Sprenger, Ben De Pasquale, Giulia Soloperto, Raffaele Lygeros, John Dörfler, Florian |
| author_facet | Sprenger, Ben De Pasquale, Giulia Soloperto, Raffaele Lygeros, John Dörfler, Florian |
| contents | A closed-loop control model to analyze the impact of recommendation systems on opinion dynamics within social networks is introduced. The core contribution is the development and formalization of model-free and model-based approaches to recommendation system design, integrating the dynamics of social interactions within networks via an extension of the Friedkin-Johnsen (FJ) model. Comparative analysis and numerical simulations demonstrate the effectiveness of the proposed control strategies in maximizing user engagement and their potential for influencing opinion formation processes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_06152 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Control Strategies for Recommendation Systems in Social Networks Sprenger, Ben De Pasquale, Giulia Soloperto, Raffaele Lygeros, John Dörfler, Florian Systems and Control Social and Information Networks Physics and Society A closed-loop control model to analyze the impact of recommendation systems on opinion dynamics within social networks is introduced. The core contribution is the development and formalization of model-free and model-based approaches to recommendation system design, integrating the dynamics of social interactions within networks via an extension of the Friedkin-Johnsen (FJ) model. Comparative analysis and numerical simulations demonstrate the effectiveness of the proposed control strategies in maximizing user engagement and their potential for influencing opinion formation processes. |
| title | Control Strategies for Recommendation Systems in Social Networks |
| topic | Systems and Control Social and Information Networks Physics and Society |
| url | https://arxiv.org/abs/2403.06152 |