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Analyzing a networked social algorithm for collective selection of representative committees.

Alexis R Hernández1, Carlos Gracia-Lázaro2, Edgardo Brigatti1

  • 1Instituto de Física, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.

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Summary

This study introduces a novel networked voting rule using proxy voting and trust networks to form representative committees. The system ensures committee integrity and trustability, proving robust against strategic manipulation.

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Area of Science:

  • Social Choice Theory
  • Network Science
  • Computational Social Science

Background:

  • Traditional voting mechanisms can be susceptible to patronage and lack representativeness.
  • Proxy voting in networked social structures offers a potential improvement.
  • Assessing committee trustability requires considering individual integrity and its perception.

Purpose of the Study:

  • To evaluate the trustability of committees formed by a networked voting rule based on individual opinions and trust.
  • To analyze the representativeness and integrity of committees generated by this novel voting system.
  • To determine the robustness of the voting rule against strategic or untruthful voting behavior.

Main Methods:

  • Implementation of a networked voting rule utilizing proxy voting within a trust-based social network.
  • Analysis of committee selection based on individual opinions and perceived integrity.
  • Testing the voting system's resilience against strategic manipulation and false inputs.

Main Results:

  • The proposed voting rule successfully generates small committees with high levels of representativeness.
  • Committees formed exhibit enhanced integrity, directly influenced by individual integrity and its perception.
  • The voting system demonstrates significant robustness against strategic and untruthful applications.

Conclusions:

  • The networked voting rule enhances committee representativeness and integrity.
  • The system's robustness makes it a reliable mechanism for committee selection in social networks.
  • This approach offers a promising method for trustworthy and representative decision-making in digital environments.