The lectures include the three centrality measures: degree centrality, closeness centrality and betweenness centrality. Degree centrality is discussed as a measure of success in a graph evolution model investigating the PhD-student-advisor network and the glass ceiling effect, both from a theoretical as well as a data point of view. The lectures also includes different influence networks, their convergence time, and convergence states.