University of Konstanz
Algorithmik

Jürgen Lerner

Network Modeling (Winter 2017/2018)

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Social network analysis, i.e., the joint analysis of actors and relations among them, rapidly gains importance in many scientific and commercial applications. Examples range from studies of organizational and communication networks over to the analysis of Web-based user interaction. Statistical approaches in social network analysis are applied to model, estimate, and predict social interaction and behavior based on empirical data.
In this course you will learn methodological foundations for modeling social networks. The course will have two parts, an application-centered part in which we are illustratively analyzing data from collaboration on Wikipedia and a method-centered part which discusses network models and related methods.
Prerequisites Good knowledge of basic mathematical concepts, as well as strong mathematical soft skills, i.e., the ability to understand and work with mathematical definitions, theorems, and proofs.

Schedule

Lecture (Jürgen Lerner) Tue 13:30-15:00 in L 602
Tutorial Tue 10:00-11:30 in D 432
Exams (oral) Feb 13, 10:00-11:30, 13:30-15:00, Apr 10, 10:00-11:30, 13:30-15:00, or by individual appointment

Exercises

Most documents are only locally accessible - see possibilities for remote access.

Please submit your solutions by email to juergen.lerner@uni-konstanz.de

no. online due tutorial download
1 24.10.2017 12.11.2017 14.11.2017 Sheet 1
2 13.11.2017 19.11.2017 21.11.2017 Sheet 2
3 21.11.2017 26.11.2017 28.11.2017 Sheet 3

Material

Most documents are only locally accessible - see possibilities for remote access.

Slides

Data

Software

Literature

Lecture topics

Wikipedia research

Background and further reading

Further information