Density-Based Community Detection in Attributed Networks

Paper#Community Detection, Network Analysis, Machine Learning🔬 Research|Analyzed: Jan 3, 2026 15:38
Published: Dec 30, 2025 16:44
1 min read
ArXiv

Analysis

This paper introduces AttDeCoDe, a novel community detection method designed for attributed networks. It addresses the limitations of existing methods by considering both network topology and node attributes, particularly focusing on homophily and leader influence. The method's strength lies in its ability to form communities around attribute-based representatives while respecting structural constraints, making it suitable for complex networks like research collaboration data. The evaluation includes a new generative model and real-world data, demonstrating competitive performance.
Reference / Citation
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"AttDeCoDe estimates node-wise density in the attribute space, allowing communities to form around attribute-based community representatives while preserving structural connectivity constraints."
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ArXivDec 30, 2025 16:44
* Cited for critical analysis under Article 32.