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Instructors: Dr. Heike Brugger
Event type:
Seminar / exercise
Org-unit: Sociology, Politics & Economics
Displayed in timetable as:
AdMeth Netzwerkanal.
Hours per week:
1,5
Credits:
3,0
Location:
Campus der Zeppelin Universität
Language of instruction:
Englisch
Min. | Max. participants:
5 | 30
Priority scheme: Standard-Priorisierung
Course content:
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 analyse real-world problems.
Basic knowledge of R is required.
Educational objective:
- Understanding basic concepts and underlying theories for network analysis
Application in R:
- Being able to manage network data
- Being able to perform essential descriptive network analysis
- Being able to visualize networks (in R and visone)
- Being able to analyze network data theoretically driven
Further information about the exams:
Midterm-Paper (20%):
Performance of a practical task in which the concepts and tools have to be implemented in practice.
Will be due between the first and the second workshop.
Endterm-Paper (80%):
Practical application of the contents of the course.
The data set will be provided. The task will lie in identifiying a relevant and solveable network analysis research question and in performing the necessary methodological steps in order to answer this question.
Mandatory literature:
Introductory Reading:
- Scott, J. (2000). Social Network Analysis: A Handbook. SAGE.
- Knoke, D./ Yang, S. 2008: Social Network Analysis. 2nd Edition. Los Angeles: Sage. Chapter 3.
- Henning, M. et al. 2012. Studying Social Networks. A Guide to Empirical Research. Frankfurt: Campus. Chapter 4.
- Freeman, L. C. 1978. Centrality in Social Networks: Conceptual Clarification. Social Networks, 1(3), 215–239. doi:10.1016/0378-8733(78)90021-7
- Girvan, M./ Newman, M.E.J. 2002. Community structure in social and biological networks. Proceedings of the National Academy of Sciences 99 (12); 7821-26
Supplementary Reading:
- Wasserman, S., & Faust, K. 1994. Social Network Analysis: Methods and Applications. Cambridge; New York: Cambridge University Press.
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