Network Analysis

for Politics and Public Administration

For several years, there is beside to the introductory course POLNET (in german language) also a course POLNET+ for advanced network analysis. In the past both courses were organized by the Chair Empirical Theory of the State  (Prof. Dr. Volker Schneider). This year POLNET is organized also by Dr. Melanie Nagel (Tübingen). Both courses are suitable for PhD students, master students and researchers interested in dealing with the empirical study of social and political networks.


POLNET introduction

The introduction course (in German) provides basic methods of social network analysis. In addition to an overview of theories and data in political science network research, the most important network analysis methods are presented. A central component of the course is the practical introduction to the programs R , DNA and visone (more)

POLNET + for advanced


In the POLNET+ course for advanced students, specific advanced methods and their applications are presented in English. 2020 the focus was on Comparing different kinds of Networks, including social, cultural, discourse and committee networks. We have drawn comparisons between networks at the local and national levels, and between networks over time. (more)

POLNET Barcelona 2020 - Advanced Social Network Analysis

POLNET Barcelona took place from February 18 to February 21, 2020. It was organized jointly with our host institution this year: the Barcelona Institute of International Studies (IBEI).The IBEI premises are located in Carrer Ramon Trias Fargas 25-27. 08005 Barcelona (Spain). You will find further information at: www.ibei.org.

Social network analysis offers numerous quantitative applications in the field of political, sociological and organiza-tional sciences. These methodological tools, practices, theoretical assignments, and practical problems play a central role in this POLNET seminar. In addition to an overview of theories and data in political science network re-search, the most important network analysis techniques are presented. A central component of the course was its practical introduction to the programs R, DNA, Visone and NetLogo. Moreover, we cover advanced SNA techniques such as QAP (Quadratic Assignment Pro-cedure), ERGMs (Exponential Random Graphs Models) and ABM (Agent Based Modeling).

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