Author

Asgarali Bouyer

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Oct 2026

Adaptive multi-scale hierarchical method for complex network key nodes identification.

Traditional centrality measures normally rely on a single topological scale, which limits their ability to comprehensively characterize the roles of nodes across local, semi-local, and global network structures. Moreover, their generalization capability across different network types is often weak, leading to low accur...

Xiao-Yang Liu, Wan-Qian Zhang, Asgarali Bouyer et al. · Chaos · 0 citations

Aug 2026

A hybrid chaos-based feature selection and machine learning for improved software defect prediction

This paper highlights that integrating the binary Shuffled Frog Leaping Optimizer with machine learning algorithms significantly improves accuracy, F1 score, precision, and sensitivity in defect prediction.

Bahman Arasteh, Asgarali Bouyer, H. Kusetogullari · Neural computing & applicati... · 0 citations

Open access Jun 2026

ECBR: A Graph-Based Learning Framework for Dynamic Community Detection in Social Networks

A novel dynamic community detection framework called Embedded Clustering Boundary Refinement (ECBR), which introduces a boundary-aware refinement mechanism that identifies structurally ambiguous nodes using neighborhood consistency analysis and reassigns them according to embedding-space similarity.

Asgarali Bouyer, Alireza Rouhi, Bahman Arasteh et al. · Machine Learning and Knowled... · 0 citations