[s20] Seminar - Complex Networks: Community Detection and Dynamics

Master Seminar

Over the past decade, there has been a growing public fascination with the complex “connectedness” of general networks. This connectedness is found in many incarnations: in the rapid growth of the Internet and the Web, in the ease with which global communication now takes place, and in the ability of news and information as well as epidemics and financial crises to spread around the world with surprising speed and intensity.  To adequately capture and understand such phenomena, network analysis has proven to be extremely useful. In this context, network analysis has numerous applications ranging from social to natural sciences. Statistical network analysis offers a very broad range of instruments enabling the description and analysis of complex and interdependent systems.Due to the growing need for ways to handle network data, methodological research on network analytical models has spurred in recent years.  This seminar intends to provide master students of statistics and data science with an overview of the current state of research in the field of network analysis. More precisely, the focus will be on dynamic network models and community detection. In addition to the estimation, interpretation, and comparison of network models, implementation and application are covered.