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January 29, 2026Mathematical Social Sciences

From neighbors to components: The equivalence of fairness for neighbors and gap preservation

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Key Points

Findings show that fairness metrics for neighbors align closely with gap preservation methods, indicating fundamental commonalities.
Key evidence demonstrates that maintaining gap preservation can yield similar fairness outcomes for neighboring components across various algorithms.
Observational analysis highlights these critical relations in algorithmic frameworks, suggesting improved designs based on fairness principles.
Implications support the potential for integrating fairness measures into broader algorithmic applications; further validation is encouraged.

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Implication

Analysis reveals the equivalence of fairness concepts in algorithm designs, implying broader implications for equitable outcomes.

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Cite This Study

Takaaki Abe (2026) studied this question.

synapsesocial.com/papers/69a75e3cc6e9836116a28a79 https://doi.org/10.1016/j.mathsocsci.2026.102510

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