123241-44 | M Advanced Methods | M | Netzwerkanalyse

Lehrende: Dr. Heike Brugger

Veranstaltungsart: Seminar / Übung

Orga-Einheit: Sociology, Politics & Economics

Anzeige im Stundenplan: AM Netzwerkanalyse

Semesterwochenstunden: 2

Credits: 3,0

Standort: Campus der Zeppelin Universität

Unterrichtssprache: Englisch

Min. | Max. Teilnehmerzahl: 5 | 30

Prioritätsschema: Standard-Priorisierung

Inhalte:
This course gives an introduction into the analysis of networks. A network approach helps to understand many phenomenon of interest in politics, policy and management, as well as in many disciplines across the social and natural sciences, such as cooperation, diffusion of innovation, and social capital. In this course, we will focus on the concepts and methods that are commonly used to study these networks. The course provides a practical, hands-on approach to network analysis (in R) and introduces analytical tools to understand and analyze real-world problems.

Lernziele:

• Understanding basic concepts and underlying theories for network analysis
  
• Understanding and critically evaluating theoretical and methodological social network analysis applications
  
• Being able to critically and systematically apply various forms of network data collection, descriptive network analysis, and visualizations with Visone
  
• Be familiar with the different understandings and uses of key concepts in the field of social network analysis
  
• Being able to analyze network data theoretically driven
  

• Being able to manage network data
  
• Being able to perform essential descriptive network analysis
  
• Being able to visualize networks (in R and visone)
  

Weitere Informationen zu den Prüfungsleistungen:
Midterm-Paper:
Preparation of a written discussion and a discussion guide. Preferably in teams of two.

Endterm-Paper:

Practical application of the contents of the course in a seminar paper (~4.000-6.000 words). The endterm paper might be developed based on the midterm paper. Students should demonstrate that they have gained a systematic and critical understanding of network analysis. Therefor they will analyze their network data within a theoretical setting. The task will lie in identifying a theoretically relevant and solvable network analysis research question and in performing the necessary methodological steps in order to answer this question.  A data set will be provided, however, using another available data set is of course possible as well.

Literatur:

• Scott, J. (2000). Social Network Analysis: A Handbook. SAGE.
  
• Knoke, D./ Yang, S. 2008: Social Network Analysis. 2nd Edition. Los Angeles: Sage.
  
• Henning, M. et al. 2012. Studying Social Networks. A Guide to Empirical Research. Frankfurt: Campus.
  
• Wasserman, S., & Faust, K. 1994. Social Network Analysis: Methods and Applications. Cambridge; New York: Cambridge University Press.
  

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