Applied Social Network Analysis in Python

This course introduces network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and the motivations for modeling phenomena as networks. The second week introduces the concepts of network connectivity and stability. The third week looks at ways to measure the importance or centrality of a node in a network. The final week looks at the evolution of networks over time, as well as models of network creation and the problem of link prediction. This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Graphing, and Presenting Data in Python, and Applied Machine Learning in Python.