Iqra Altaf Gillani

Spectral Efficiency Centrality: An Efficient Spectral Approach for Influential Node Identification in Temporal Networks

Spectral Efficiency Centrality (SEC), a temporal spectral centrality framework that quantifies node importance by evaluating the change in spectral radius caused by node removal across temporal snapshots, and ASEC, an efficient approximation based on Perron-Frobenius theory and first-order eigenvalue perturbation that offers a computationally efficient solution for large-scale temporal networks.