3 papers
cs.SI2026
Enhancing Discrete Particle Swarm Optimization for Hypergraph-Modeled Influence Maximization
Qianshi Wang, Xilong Qu, Wenbin Pei +2
Influence maximization (IM) is a fundamental problem in complex network analysis, with a wide range of real-world applications. To date, existing approaches to influential node ide…
physics.soc-ph2025
Meta-heuristic Hypergraph-Assisted Robustness Optimization for Higher-order Complex Systems
Xilong Qu, Wenbin Pei, Haifang Li +3
In complex systems (e.g., communication, transportation, and biological networks), high robustness ensures sustained functionality and stability even when resisting attacks. Howeve…
cs.SI2024
Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods
Xilong Qu, Wenbin Pei, Yingchao Yang +3
Influence maximization (IM) is a crucial optimization task related to analyzing complex networks in the real world, such as social networks, disease propagation networks, and marke…