Introduction into Social Network Analysis:
As the title of the seminar suggests, this seminar will provide an introduction to social network analysis. The aim of the seminar is for students to learn how social networks (e.g. friendship networks) are structured and how they can be analyzed using statistical methods.
At the beginning of the seminar, the focus will be on how to visualize social networks, what is behind network measures such as homophily, reciprocity, and transitivity, popularity, and how these can be measured. Further learning objectives of the seminar are methods for the identification of subgroups in social networks such as cliques ("Community Detection"), as well as Exponential Random Graph Models (ERGMs) and Stochastic Actor Based Oriented Models (SAOMs), which aim to explain the process of tie formation in social networks. The focus will be on the concrete application.
The statistical software R will be used during the seminar. Previous knowledge of R is not a prerequisite. However, it is a prerequisite that students have already gained experience in using some statistical software (e.g. SPSS, Stata, Python, R) as well as basic knowledge of statistics (e.g. linear and logistic regression). The seminar will be held in English.
-Some knowledge in at least one statistical software (R, Stata, SPSS, Python, etc.)
-Basic knowledge in statistics including linear regression and logistic regression
Borgatti, S. P., Everett, M. G., Johnson, J. C., & Agneessens, F. (2022). Analyzing social networks using R. Sage.
Robins, G. L. (2015). Doing social network research: Network-based research design for social scientists. Doing Social Network Research, 1-280.
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
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30-M-Soz-M3a Soziologische Methoden a | Seminar 1 | Study requirement
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Seminar 2 | Study requirement
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- | Graded examination | Student information | |
30-M-Soz-M3b Soziologische Methoden b | Seminar 1 | Study requirement
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Student information |
Seminar 2 | Study requirement
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Student information | |
- | Graded examination | Student information | |
30-M-Soz-M3c Soziologische Methoden c | Seminar 1 | Study requirement
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Student information |
Seminar 2 | Study requirement
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Student information | |
- | Graded examination | Student information | |
30-SW-ESo Empirische Sozialforschung | Seminar 1 | Study requirement
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Student information |
Seminar 2 | Study requirement
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- | Graded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there: