Introduction to Social Network Analysis using Advanced Data Mining

Social networks play an ever increasing role in our society. As such, any traditional business decisions will be influenced by social network analysis (SNA).

Loan granting or marketing campaigns are just two examples. But also less traditional areas, such as e.g. investigation of organized crime can benefit from this relatively new approach. This course first lays the foundation for social network analysis by introducing advanced data mining techniques. Then the main topics related to SNA will be introduced. Applications with real-world data from social networks using the respective software tools will conclude the course.

Course leader

Univ.-Prof. Dr. Richard Weber

Target group

Post-Docs, PhD & master students.

Course aim

This course seeks to enhance participants’ ability to:

-understand the potential of social network analysis (SNA) in different areas,
-select the adequate methods for network analysis,
-analyze social networks using advanced data mining techniques,
-propose decisions based on the respective network analyses.

Credits info

5 EC
The workload for this course will consist of 30 hours of lecturing and group work as well es additional individual and group preparation. This course equals 5 credit points.

Fee info

EUR 750: Participants have to pay €750 for one weekly course and another €600 for any additional intensive course they would like to visit. Please book the courses separately, we will take additionally booked courses into account when issuing your invoice.