{
  "id": "2403.06152",
  "version": "v1",
  "published": "2024-03-10T09:51:05.000Z",
  "updated": "2024-03-10T09:51:05.000Z",
  "title": "Control Strategies for Recommendation Systems in Social Networks",
  "authors": [
    "Ben Sprenger",
    "Giulia De Pasquale",
    "Raffaele Soloperto",
    "John Lygeros",
    "Florian Dörfler"
  ],
  "categories": [
    "eess.SY",
    "cs.SI",
    "cs.SY",
    "physics.soc-ph"
  ],
  "abstract": "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.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2024-03-10T09:51:05.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "control strategies",
      "social networks",
      "influencing opinion formation processes",
      "recommendation system design",
      "closed-loop control model"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}