392251 Project: Analysis of social interaction time series (Pj) (WiSe 2026/2027)
Contents, comment
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In this project, you will analyze donated data from social media platforms, such as WhatsApp and Instagram. Human behavior data exhibits characteristics, such as temporal irregularities and substantial heterogeneity across individuals, that make its analysis methodologically challenging but also scientifically interesting. You will apply and evaluate methods for the analysis of behavioral time series, including time-series clustering techniques, to identify patterns in communication and social interaction. Requirements: working knowledge of Python and scientific curiosity
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | 12.10.2026-05.02.2027 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P Project | Projekt | Ungraded 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.
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- WS2026_392251@ekvv.uni-bielefeld.de
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- Last update basic details/teaching staff:
- Friday, June 5, 2026
- Last update times:
- Friday, June 5, 2026
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- Friday, June 5, 2026
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
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