The authors introduce a method leveraging first arrival distance and spectral entropy to measure the dissimilarity of temporal networks, showcasing its application in network classification and spreading dynamics. The results demonstrate that this approach effectively captures subtle structural differences and dynamic patterns, addressing the limitations of traditional static network comparison methods.
- Xiu-Xiu Zhan
- Chuang Liu
- Zi-Ke Zhang
