Efficient Graph-Based Multivariate Multiscale Dispersion Entropy: Applications to Real-World Network Data Analysis
A novel, computationally efficient method for analyzing multivariate time series data in graph and complex network frameworks, integrating temporal dynamics with topological relationships to provide enhanced analysis compared to traditional nonlinear entropy methods.