University of Konstanz
Algorithmik

Jürgen Lerner

Network Modeling (Winter 2017/2018)

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First lecture: Tuesday, October 24, 13:30-15:00 in L 602

Frist tutorial: Tuesday, October 31, 10:00-11:30 in D 432

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 mathematical and methodological foundations for modeling social networks. In the first part we treat models for time-independent networks and in the second part we model the evolution of networks over time.
This course is part of a set of three related lectures offered by the Algorithmics group: Network Analysis, Network Dynamics, and Network Modeling. Note that these courses can be taken independently of each other and in any order.

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, or by individual appointment

Exercises

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Material

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Data

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Lecture topics

Background and further reading

Further information