Social Network Analysis in Practice (PS, Master)
Social Network Analysis in Practice
- Advisors: Dr. Ralf Krestel, Tim Repke
- Wednesdays 9 c.t. in F-2.10 on Campus II, see single room changes below
- Language: German or English
- 6 ECTS, 2 SWS
Course Description
In this seminar, students will study various aspects of Social Network Analysis. In the first phase, each student will present one aspect of a general overview. In the second phase, students will form small groups and implement their own idea (or pcik one from a selection of ideas). Students will put their proposals into practice using real world social network data in the form of corporate emails. Therefore, we will provide a pre-processed Version of the Enron corpus. It is encouraged to incorporate related work from research on Social Network Analysis and Text Mining and reproduce findings using our corpus.
Results from these projects can be very interesting for journalists or auditors, who have to dig through huge datasets to find interesting facts or uncover inherent structures manually.
A list of project ideas will be presented in our introduction meeting (see schedule).
Learning Objectives
- Overview of Topics in Social Network Analysis
- Deep understanding of one aspect
- Work with heterogeneous data
- How to find and reproduce research papers
- How to write a research abstract (2-page paper)
Grading
The grade will consist of
- „Introduction to SNA“ presentation (30%)
- Project (70%)
- Final presentation
- Paper (2 pages, ACM Proceedings Template)
References
- see introduction slides
- Due to technical issues, supplemental material is currently not available. The admins are working to fix this issue.
- Available physical copies of books
- Social Network Analysis by Yang, Keller, Zheng
- Analyzing Social Networks by Borgatti, Everett, Johnson
- Social Network Analysis: Methods and Applications by Wassermann, Faust
- Encyclopedia of Social Network Analysis and Mining by Alhajj, Rokne (all three volumes)
Schedule
| Date | Topic |
|---|---|
| 27.03.2019 |
All information may be subject to change.