3 papers
cs.SI2026
A Novel Gravity-Quasi-Laplacian Approach to Identifying Influential Nodes in Complex Networks
Shima Esfandiari, Seyed Mostafa Fakhrahmad
Identifying influential nodes in complex networks is a fundamental challenge with broad applications in areas such as social network analysis, communication infrastructure, transpo…
cs.SI2026
Uncertainty-Aware Fuzzy Centrality Measures for Influential Node Identification: A Structural Modeling Approach Toward E-Commerce Applications
Shima Esfandiari, Seyed Mostafa Fakhrahmad
In recent years, e-commerce platforms have become one of the most prominent examples of large-scale interaction networks, where understanding influence dynamics among users, produc…
cs.SI2024
Mining Influential Spreaders in Complex Networks by an Effective Combination of the Degree and K-Shell
Shima Esfandiari, Seyed Mostafa Fakhrahmad
Graph mining is an important technique that used in many applications such as predicting and understanding behaviors and information dissemination within networks. One crucial aspe…