We study applications of network science methods, this time in the domain of social media.Topics are selected for diversity in research questions and techniques.Student teams present results from the recent literature, possibly with replication, in a mini-conference at the end of the lecture period.

Network science is a distinct domain of data science that is characterized by a specific kind of data being studied.While areas of application range from archaeology to zoology, we concern ourselves with social networks for the most part.Emphasis is placed on descriptive and analytic approaches rather than theorizing, modeling, or data collection.

If you can't measure it, you can't manage it. Explorations into mathematical foundations and societal implications of measuring humans, processes, and things in an increasingly datafied world.