Kaisa_2012_3_photo by Veikko Somerpuro
The course combines both theoretical knowledge about network analysis and hands-on skills on how to conduct such analysis.
This course focus both on the theory and practice of network analysis, perceived broadly as an analysis paradigm to understand interactions between people (social networks), relationships between words in the text (text networks) and so on. As this course has both lectures on more methodological nature and hands-on-laboratories, you should have a working knowledge of R or Python before the first class.
Interaction
Timetable
Material
Other
Conduct of the course
Each class will have two separate components: the lecture will focus on the conceptual dimension of network analysis, including pre-reading assignments, classroom discussions and some slides. This will take about 45 minutes. The class is then followed by the laboratory part, where students will work through learning activities, including example codes and expanded questions.
Based on the skills gained from the lectures, each student will write a final report where an empirical research question is explored using some analysis methods demonstrated during the classes. Students will be evaluated only based on the final report.