Multiscale Network Renormalization - Scale-Invariance Without Geometry

Explore the concept of multiscale network renormalization and its implications for scale-invariance without geometry in this lecture by Diego Garlaschelli. Delve into advanced topics in network science, including structural properties of random graphs, dynamics on networks, and interacting particle systems. Gain insights into the applications of probability theory, computer science, optimization techniques, and statistics in real-world scenarios. Examine the intersection of random matrices, statistical physics, and related fields as part of the NETWORKS program, a collaborative initiative between Dutch and Indian researchers. Discover how these theoretical aspects apply to finance, large data set analysis, rare event modeling, and social networks.

Multiscale Network Renormalization: Scale-invariance Without Geometry by Diego Garlaschelli