Short course on Network Centrality Measures, theory and applications.
This course covers some basic graph notation and terminology, as well as an overview of the most important node and graph centrality measures and their underlying assumptions, pros and cons.
Additionally, these theoretical underpinnings are exemplified using applications such as the Minnesota Road Network, TENET, Network Quantile Regression, CRIX and FRM.
