Shima Esfandiari

A Novel Gravity-Quasi-Laplacian Approach to Identifying Influential Nodes in Complex Networks

This study introduces a new ranking framework that integrates a quasi-Laplacian structural measure with a gravity-inspired aggregation process and demonstrates that the proposed framework consistently outperforms existing techniques in terms of accuracy, resolution, and computational simplicity.