Individual Fairness in Community Detection: Metrics and Insights

NetSciX 2026 Conference Submission155 Authors

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