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Instructors: Prof. Dr. Robert Ackland; Prof. Dr. Florian Muhle
Event type:
Seminar / exercise
Org-unit: Communication & Cultural Management
Displayed in timetable as:
Emp. Market Res.
Hours per week:
3
Credits:
6,0
Location:
Campus der Zeppelin Universität
Language of instruction:
Englisch
Min. | Max. participants:
3 | 30
Priority scheme: Standard-Priorisierung
Course content:
The seminar introduces participants to approaches for collecting and analysing network and text data from social media (Twitter, YouTube and Reddit). In terms of analysis, the focus is on the application of social network analysis (SNA) and quantitative text analysis to online data. While the main software used in the course is R, we also introduce Gephi for advanced visualisation. Data collection is via the VOSON R Packages (VOSON Dashboard, vosonSML, voson.tcn). We also cover other important R packages for network and text analysis such as: igraph (network analysis and visualisation), quanteda (quantitative analysis of textual data), tidytext (text mining), and wordcloud (text word clouds).
Educational objective:
At the end of the seminar, the students will be able to independently collect social media data using the software tools they have become acquainted with. In addition, they will be able to apply at least beasic forms of network analysis and content analysis.
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