In essence, every network is the sum of nodes and ties among them. In physical networks, it is difficult to track nodes and identify ties among them, especially when the scale is greater. While it is possible to track, identify and map physical networks, this possibility is limited in time, space and human capability. However, the ability to track and identify nodes and ties among them on digital networks is possible because every single click leaves a digital trace and we can track, identify, collect, and analyze these digital traces. In this context, social network analysis provides techniques, tools and approaches to practice social networking, while social network theory provides the conceptual background to interpret the network data. This is where this book steps in and provides a systematic walkthrough for those interested in social network analysis. With a special focus on social networking in digital networked spaces, “Analyzing Social Media Networks with NodeXL: Insights from a Connected World” explains how to practice social network analysis by using NodeXL software.