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Lecturer(s)
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Course content
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- Definition of the key SNA terms - Genealogy of SNA in the field of social anthropology - Handling network data - Data collection methods - Egocentrics and complete networks - Vertices, edges and density - Centrality and centralization - Network components and cohesion - Structural holes and brokers - Roles and positions - Structural equivalence
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Learning activities and teaching methods
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Interactive lecture, Lecture with practical applications, E-learning, Multimedia supported teaching, Laboratory work, Seminar classes, Individual study, Students' self-study, Self-study of literature
- Preparation for an examination (30-60)
- 30 hours per semester
- Graduate study programme term essay (40-50)
- 35 hours per semester
- Contact hours
- 39 hours per semester
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| prerequisite |
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| Knowledge |
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| to characterize and describe the basics of social science methodology |
| to interpret standard data types |
| to formulate your own research topic |
| to describe the differences between different analytical approaches to understanding social phenomena |
| Skills |
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| to use electronic information sources |
| to critically reflect and understand a professional text in the English language |
| to master standard computer programs |
| to master the Windows operating system environment |
| Competences |
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| N/A |
| N/A |
| N/A |
| N/A |
| learning outcomes |
|---|
| Knowledge |
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| to characterize and summarize the development of social network analysis in social anthropology and related disciplines |
| to characterize individual theoretical approaches to social networks |
| Skills |
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| to define and apply individual network concepts |
| to formulate and apply methods of relational data collection |
| to prepare and select suitable relational data files for analysis |
| to create relational data matrices |
| to perform basic measurements of complete and egocentric networks |
| to interpret measurement results based on individual concepts |
| to visualize social networks |
| to master the software environment for network analysis and visualization |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Interactive lecture |
| E-learning |
| Multimedia supported teaching |
| Self-study of literature |
| Individual study |
| Skills |
|---|
| E-learning |
| Multimedia supported teaching |
| Individual study |
| Self-study of literature |
| Practicum |
| Skills demonstration |
| Competences |
|---|
| Interactive lecture |
| E-learning |
| Practicum |
| Multimedia supported teaching |
| Skills demonstration |
| Self-study of literature |
| Individual study |
| assessment methods |
|---|
| Knowledge |
|---|
| Oral exam |
| Seminar work |
| Skills demonstration during practicum |
| Skills |
|---|
| Seminar work |
| Skills demonstration during practicum |
| Oral exam |
| Competences |
|---|
| Oral exam |
| Seminar work |
| Skills demonstration during practicum |
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Recommended literature
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Bruggeman, Jeroen. Social networks: An introduction. London, Routledge, 2008.
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Carrington, Peter J.,; Scott, John,; Wasserman, Stanley. Models and methods in social network analysis. Cambridge : Cambridge University Press, 2005. ISBN 0-521-60097-9.
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Degenne, Alain; Forsé, Michel. Introducing social networks. London Los Angeles : SAGE Publications, 1999. ISBN 978-0-7619-5604-4.
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Freeman. The Development of Social Network Analysis: A Study in the Sociology of Science.. Empiral Press, 2004.
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Hanneman, Robert A., Mark Riddle. Untroduction to Social Network Methods. University of California, 2005.
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MITCHELL, J. C (ed.). Social networks in urban situations : analyses of personal relationships in Central African towns. Manchester U.P., 1969.
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Scott, J. Social Networks Analysis a Handbook. London: Sage, 2000.
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Wasserman, Stanley and Katherine Faust. Social Network Analysis: Methods and Applications. Cambridge University Press, 1994.
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Wellman, Barry; Berkowitz, Stephen D. Social structures : a network approach. S.l. : Emerald, 2008. ISBN 978-0-76-230291-8.
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