Qiyao Huang

ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy

Temporal networks are widely used as abstract graph representations for real-world dynamic systems. Indeed, recognizing the network evolution states is crucial in understanding and analyzing temporal networks. For instance, social networks will generate the clustering and formation of tightly-knit g…