Individual Fairness in Community Detection: Metrics and Insights

NetSciX 2026 Conference Submission155 Authors

20 Sept 2025 (modified: 27 Sept 2025)NetSciX 2026 Conference SubmissionEveryoneRevisionsBibTeXCC BY 4.0
Keywords: Community Detection, Algorithmic Fairness, Individual Bias, Social Network Analysis, Structural Inequalities
TL;DR: This paper introduces novel metrics to quantify individual fairness in community detection, evaluates them across 30 algorithms on synthetic and real-world networks, and provides insights into how different methods treat nodes unfairly.
Submission Number: 155
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