Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 93 tok/s
Gemini 2.5 Pro 55 tok/s Pro
GPT-5 Medium 25 tok/s
GPT-5 High 24 tok/s Pro
GPT-4o 91 tok/s
GPT OSS 120B 462 tok/s Pro
Kimi K2 209 tok/s Pro
2000 character limit reached

Control Strategies for Recommendation Systems in Social Networks (2403.06152v1)

Published 10 Mar 2024 in eess.SY, cs.SI, cs.SY, and 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.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (17)
  1. A. V. Proskurnikov and R. Tempo. A tutorial on modeling and analysis of dynamic social networks. Part I. Annual Reviews in Control, 43:65–79, 2017.
  2. C. Altafini. Consensus problems on networks with antagonistic interactions. IEEE Trans. on Aut. Contr., 58(4):935–946, 2012.
  3. Models of social influence: Towards the next frontiers. Jour. of Art. Soc. and Soc. Sim., 20(4):1–31, 2017.
  4. C. Altafini. Notes for a course: Opinion dynamics in social networks. pages 1–153, 2023.
  5. The triple-filter bubble: Using agentbased modelling to test a meta-theoretical framework for the emergence of filter bubbles and echo chambers. British Journal of Social Psychology, 58(1):129–149, 2019.
  6. Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence modes. PLos ONE, 14(3):1–20, 2019.
  7. A classification of feedback loops and their relation to biases in automated decision-making systems. Proc. of the 3rd ACM Conf. on Equity and Access in Alg., Mechanisms, and Opt., 2023.
  8. The impact of recommendation systems on opinion dynamics: Microscopic versus macroscopic effects. In Proc. of IEEE 62nd Conf. on Dec. and Contr. (CDC), 2023.
  9. The closed loop between opinion formation and personalized recommendations. IEEE Trans. on Control of Networked Systems, 9(3):1092–1103, 2022.
  10. Opinion dynamics-based group recommender systems. IEEE Trans. on Sysistems, Man, and Cybernetics: Systems, 48(12):2394–2406, 2018.
  11. Maintaining ferment. In Proc. of the 2019 IEEE 58th Conference on Decision and Control (CDC), pages 5217–5222, 2019.
  12. B. D. O. Anderson and M. Ye. Recent advances in the modelling and analysis of opinion dynamics on influence networks. International Journal of Automation and Computing, 16(2):129–149, 2019.
  13. Model predictive control: theory, computation, and design, volume 2. Nob Hill Publishing Madison, WI, 2017.
  14. Social influence and opinions. Journal of Mathematical Sociology, 15(3–4):193–206, 1990.
  15. Minimizing polarization and disagreement in social networks. In Proc. of the 2018 World Wide Web Conference, pages 369–378, 2018.
  16. Dual seminorms, ergodic coefficients, and semicontraction theory. IEEE Transactions on Automatic Control, December 2022.
  17. Nodetrix: A hybrid visualization of social networks. IEEE Trans. on visualization and computer graphics, 13(6):1302–1309, 2007.
Citations (4)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube