Network Characteristic

Network characteristics research focuses on understanding and leveraging the structural properties of networks to improve performance and prediction in diverse applications. Current research emphasizes developing algorithms, such as deep reinforcement learning and novel approaches like the prism-constrained recursive logit model, to optimize network resource allocation and predict missing links within complex systems. This work is significant for enhancing the efficiency of information diffusion in social networks, improving control in cyber-physical systems, and enabling more effective resource orchestration in integrated multi-domain networks like space-air-ground systems.